Edited, memorised or added to reading list

on 05-Dec-2019 (Thu)

Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Among the statistical approaches, methods included time series models (N = 9 publications), generalized linear models (N = 4), Bayesian networks (N = 2), classification methods (N = 2), survival analysis (N = 1), and a prediction market (N = 1) (Table 1). The mechanistic approaches included compartmental models, which model transitions across various sub-populations (susceptible-infectious-removed [SIR] models and variants) (N = 12 publications); and agent-based models (ABMs), which model exposure, infection, transmission and behaviors for each individual in the population (N = 5) (Table 1).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




In any emerging epidemic, underreporting is a critical challenge for ongoing assessment of this epidemic and has had enormous impact on predictions of outbreak size, but also of outbreak impact—for example, in terms of the case-fatality ratio (the proportion of cases that lead to death). Early in any outbreak, this estimate of severity can suffer from imprecise information on both the numerator (if not all deaths due to the infection are identified as such; for example, because health services are overwhelmed caring for the sick) and the denominator (if cases are not reported or, conversely, noncases get reported as cases if they are not laboratory-confirmed). This caused problems early in the H1N1 influenza outbreak first reported in Mexico in 2009, as well as in the current Ebola outbreak. Although level of underreporting can be estimated from retrospective serological studies, it is usually not identifiable in real-time data. These limitations make it almost impossible to make reliable long-term predictions. Thus, modeling results are often based on scenarios in which a pathogen spreads unaltered by behavioral changes or the public health response. This rarely reflects reality, especially in such a devastating outbreak as Ebola, where the situation constantly changes owing to growing awareness in the community, as well as national and international intervention. Careful communication of findings is key, and data and methods of analysis (including code) must be made freely available to the wider research community. Only in this way can reproducibility of analyses and an open exchange of methods and results be ensured for maximal transparency and benefit to public health.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs





#has-images

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Flashcard 4659363056908

Question
Development begins with
Answer
[default - edit me]


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

pdf

cannot see any pdfs







Flashcard 4659364105484

Question
[default - edit me]
Answer
fertilization


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

pdf

cannot see any pdfs







Flashcard 4659366464780

Question
Development begins with fertilizati
Answer
[default - edit me]


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

pdf

cannot see any pdfs







Art. 9º É vedado à União, aos Estados, ao Distrito Federal e aos Municípios:

I - instituir ou majorar tributos sem que a lei o estabeleça, ressalvado, quanto à majoração, o disposto nos artigos 21, 26 e 65;

II - cobrar imposto sobre o patrimônio e a renda com base em lei posterior à data inicial do exercício financeiro a que corresponda;

III - estabelecer limitações ao tráfego, no território nacional, de pessoas ou mercadorias, por meio de tributos interestaduais ou intermunicipais;

IV - cobrar imposto sobre:

a) o patrimônio, a renda ou os serviços uns dos outros;

b) templos de qualquer culto;

c) o patrimônio, a renda ou serviços de partidos políticos e de instituições de educação ou de assistência social, observados os requisitos fixados na Seção II dêste Capítulo;

c) o patrimônio, a renda ou serviços dos partidos políticos, inclusive suas fundações, das entidades sindicais dos trabalhadores, das instituições de educação e de assistência social, sem fins lucrativos, observados os requisitos fixados na Seção II deste Capítulo; (Redação dada pela Lei Complementar nº 104, de 2001)

d) papel destinado exclusivamente à impressão de jornais, periódicos e livros.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

Unknown title
tributária não a defere a pessoa jurídica de direito público diversa daquela a que a Constituição a tenha atribuído. CAPÍTULO II Limitações da Competência Tributária SEÇÃO I Disposições Gerais <span>Art. 9º É vedado à União, aos Estados, ao Distrito Federal e aos Municípios: I - instituir ou majorar tributos sem que a lei o estabeleça, ressalvado, quanto à majoração, o disposto nos artigos 21, 26 e 65; II - cobrar imposto sobre o patrimônio e a renda com base em lei posterior à data inicial do exercício financeiro a que corresponda; III - estabelecer limitações ao tráfego, no território nacional, de pessoas ou mercadorias, por meio de tributos interestaduais ou intermunicipais; IV - cobrar imposto sobre: a) o patrimônio, a renda ou os serviços uns dos outros; b) templos de qualquer culto; c) o patrimônio, a renda ou serviços de partidos políticos e de instituições de educação ou de assistência social, observados os requisitos fixados na Seção II dêste Capítulo; c) o patrimônio, a renda ou serviços dos partidos políticos, inclusive suas fundações, das entidades sindicais dos trabalhadores, das instituições de educação e de assistência social, sem fins lucrativos, observados os requisitos fixados na Seção II deste Capítulo; (Redação dada pela Lei Complementar nº 104, de 2001) d) papel destinado exclusivamente à impressão de jornais, periódicos e livros. § 1º O disposto no inciso IV não exclui a atribuição, por lei, às entidades nele referidas, da condição de responsáveis pelos tributos que lhes caiba reter na fonte, e não as dispensa d




UK Finance has been created by combining most of the activities of the Asset Based Finance Association, the British Bankers’ Association, the Council of Mortgage Lenders, Financial Fraud Action UK, Payments UK and the UK Cards Association

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




UK Finance Contactless Transit Framework

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Framework describes how a customer could travel on public transport using an EMV contactless card (or device such as a phone or wearable)

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




achieve interoperability across regions and transport modes

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Model 1, Single Pay-As-You-Go

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Model 2, Aggregated Pay-As-You-Go

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Model 3, Pre-Purchase

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




From 2015 – 2017, the UK Cards Association ran the Contactless Transit Project 4 (as part of a wider 2-year programme to increase the use of contactless cards across the UK

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




A Contactless Transit Working Group was set up. These monthly workshops across the two industries

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Transport Focus, the organisation representing passenger and transport user views, was integral to the Project

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Secure and transparent payments, which can be seen on the customer’s bank statement or app.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




By end H1 2017, EMV mobile payments accounted for around 10% of TfL contactless payments

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




Ability to travel on different operators using the same device, and without needing to register

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

pdf

cannot see any pdfs




6º As pessoas jurídicas de direito público e as de direito privado prestadoras de serviços públicos responderão pelos danos que seus agentes, nessa qualidade, causarem a terceiros, assegurado o direito de regresso contra o responsável nos casos de dolo ou culpa.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on

Login - Faça o login para ter acesso completo ao site - TEC Concursos
públicos, vamos admitir que estamos falando da responsabilidade do Estado (ou da Administração Pública, como preferir), que via de regra é objetiva, como consagra o §6º do art. 37 da CF-88: "§ <span>6º As pessoas jurídicas de direito público e as de direito privado prestadoras de serviços públicos responderão pelos danos que seus agentes, nessa qualidade, causarem a terceiros, assegurado o direito de regresso contra o responsável nos casos de dolo ou culpa." b) CERTO. Exato. Isso é um conceito que muita gente confunde e acaba errando questões como essa. O serviço público sempre será competência o Estado. O que pode acontecer é a delegação




Among the statistical approaches, methods included time series models (N = 9 publications), generalized linear models (N = 4), Bayesian networks (N = 2), classification methods (N = 2), survival analysis (N = 1), and a prediction market (N = 1) (Table 1).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
Among the statistical approaches, methods included time series models (N = 9 publications), generalized linear models (N = 4), Bayesian networks (N = 2), classification methods (N = 2), survival analysis (N = 1), and a prediction market (N = 1) (Table 1). The mechanistic approaches included compartmental models, which model transitions across various sub-populations (susceptible-infectious-removed [SIR] models and variants) (N = 12 publi

Original toplevel document (pdf)

cannot see any pdfs




The mechanistic approaches included compartmental models, which model transitions across various sub-populations (susceptible-infectious-removed [SIR] models and variants) (N = 12 publications); and agent-based models (ABMs), which model exposure, infection, transmission and behaviors for each individual in the population (N = 5) (Table 1).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
models (N = 9 publications), generalized linear models (N = 4), Bayesian networks (N = 2), classification methods (N = 2), survival analysis (N = 1), and a prediction market (N = 1) (Table 1). <span>The mechanistic approaches included compartmental models, which model transitions across various sub-populations (susceptible-infectious-removed [SIR] models and variants) (N = 12 publications); and agent-based models (ABMs), which model exposure, infection, transmission and behaviors for each individual in the population (N = 5) (Table 1). <span>

Original toplevel document (pdf)

cannot see any pdfs




Flashcard 4659524537612

Tags
#reading
Question
[...] is termed a statistic.
Answer
Any function of a random variable X


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Any function of a random variable X is termed a statistic.

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 4659526110476

Tags
#reading
Question
Any function of a random variable X is termed a [...].
Answer
statistic


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Any function of a random variable X is termed a statistic.

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 4659529518348

Question
Calibration refers to the statistical consistency between [...].
Answer
the probabilistic forecasts and the observations


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Calibration refers to the statistical consistency between the probabilistic forecasts and the observations, and is a joint property of the predictive distributions and the observations.

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 4659532926220

Question
The branching process is the [...] near the disease-free equilibrium.
Answer
linear approximation of the SIR stochastic process


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
The branching process is the linear approximation of the SIR stochastic process near the disease-free equilibrium.

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 4659533974796

Question
The branching process is the linear approximation of the SIR stochastic process near [...].
Answer
the disease-free equilibrium


statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
The branching process is the linear approximation of the SIR stochastic process near the disease-free equilibrium.

Original toplevel document (pdf)

cannot see any pdfs







#read
spike and slab priors consist of two parts: the spike part and the slab par

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
spike and slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). The slab part shrinks the non-zero coefficients toward pri

Original toplevel document

Sorry ARIMA, but I’m Going Bayesian | Stitch Fix Technology – Multithreaded
e, by using priors on the regressor coefficients, the model incorporates uncertainties of the coefficient estimates when producing the credible interval for the forecasts. As the name suggests, <span>spike and slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). The slab part shrinks the non-zero coefficients toward prior expectations (often zero). To see how this works, let denote a vector of 1s and 0s where a value of 1 indicates that the variable is selected (non-zero coefficient). We can factorize the spike and slab prior as




#read
The spike part of a spike-and-slab prior governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
spike and slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). The slab part shrinks the non-zero coefficients toward prior expectations (often zero)

Original toplevel document

Sorry ARIMA, but I’m Going Bayesian | Stitch Fix Technology – Multithreaded
e, by using priors on the regressor coefficients, the model incorporates uncertainties of the coefficient estimates when producing the credible interval for the forecasts. As the name suggests, <span>spike and slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). The slab part shrinks the non-zero coefficients toward prior expectations (often zero). To see how this works, let denote a vector of 1s and 0s where a value of 1 indicates that the variable is selected (non-zero coefficient). We can factorize the spike and slab prior as




#read
The slab part of a spike-and-slab prior shrinks the non-zero coefficients toward prior expectations (often zero).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). <span>The slab part shrinks the non-zero coefficients toward prior expectations (often zero) <span>

Original toplevel document

Sorry ARIMA, but I’m Going Bayesian | Stitch Fix Technology – Multithreaded
e, by using priors on the regressor coefficients, the model incorporates uncertainties of the coefficient estimates when producing the credible interval for the forecasts. As the name suggests, <span>spike and slab priors consist of two parts: the spike part and the slab part. The spike part governs the probability of a given variable being chosen for the model (i.e., having a non-zero coefficient). The slab part shrinks the non-zero coefficients toward prior expectations (often zero). To see how this works, let denote a vector of 1s and 0s where a value of 1 indicates that the variable is selected (non-zero coefficient). We can factorize the spike and slab prior as




In any emerging epidemic, underreporting is a critical challenge for ongoing assessment of this epidemic and has had enormous impact on predictions of outbreak size, but also of outbreak impact—for example, in terms of the case-fatality ratio (the proportion of cases that lead to death).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
In any emerging epidemic, underreporting is a critical challenge for ongoing assessment of this epidemic and has had enormous impact on predictions of outbreak size, but also of outbreak impact—for example, in terms of the case-fatality ratio (the proportion of cases that lead to death). Early in any outbreak, this estimate of severity can suffer from imprecise information on both the numerator (if not all deaths due to the infection are identified as such; for example,

Original toplevel document (pdf)

cannot see any pdfs




Early in any outbreak, estimates of the case-fatality ratio can suffer from imprecise information on both the numerator (if not all deaths due to the infection are identified as such; for example, because health services are overwhelmed caring for the sick) and the denominator (if cases are not reported or, conversely, noncases get reported as cases if they are not laboratory-confirmed).

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
epidemic and has had enormous impact on predictions of outbreak size, but also of outbreak impact—for example, in terms of the case-fatality ratio (the proportion of cases that lead to death). <span>Early in any outbreak, this estimate of severity can suffer from imprecise information on both the numerator (if not all deaths due to the infection are identified as such; for example, because health services are overwhelmed caring for the sick) and the denominator (if cases are not reported or, conversely, noncases get reported as cases if they are not laboratory-confirmed). This caused problems early in the H1N1 influenza outbreak first reported in Mexico in 2009, as well as in the current Ebola outbreak. Although level of underreporting can be estimated f

Original toplevel document (pdf)

cannot see any pdfs




Although level of underreporting can be estimated from retrospective serological studies, it is usually not identifiable in real-time data. These limitations make it almost impossible to make reliable long-term predictions.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
et reported as cases if they are not laboratory-confirmed). This caused problems early in the H1N1 influenza outbreak first reported in Mexico in 2009, as well as in the current Ebola outbreak. <span>Although level of underreporting can be estimated from retrospective serological studies, it is usually not identifiable in real-time data. These limitations make it almost impossible to make reliable long-term predictions. Thus, modeling results are often based on scenarios in which a pathogen spreads unaltered by behavioral changes or the public health response. This rarely reflects reality, especially i

Original toplevel document (pdf)

cannot see any pdfs




modeling results are often based on scenarios in which a pathogen spreads unaltered by behavioral changes or the public health response. This rarely reflects reality, especially in such a devastating outbreak as Ebola, where the situation constantly changes owing to growing awareness in the community, as well as national and international intervention.

statusnot read reprioritisations
last reprioritisation on reading queue position [%]
started reading on finished reading on


Parent (intermediate) annotation

Open it
be estimated from retrospective serological studies, it is usually not identifiable in real-time data. These limitations make it almost impossible to make reliable long-term predictions. Thus, <span>modeling results are often based on scenarios in which a pathogen spreads unaltered by behavioral changes or the public health response. This rarely reflects reality, especially in such a devastating outbreak as Ebola, where the situation constantly changes owing to growing awareness in the community, as well as national and international intervention. Careful communication of findings is key, and data and methods of analysis (including code) must be made freely available to the wider research community. Only in this way can reproduci

Original toplevel document (pdf)

cannot see any pdfs