Results 291 to 300 of about 44,763 (337)
AI Algorithms for Modeling the Risk, Progression, and Treatment of Sepsis, Including Early-Onset Sepsis-A Systematic Review. [PDF]
J Clin MedTądel K, Dudek A, Bil-Lula I.
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, 2011 Since the last decade we live in a digitalized world where many actions in human and economic life are monitored. This produces a continuous stream of new, rich and high quality data in the form of panels, repeated cross-sections and long time series . These data resources are available to many researchers at a low cost.
Rombouts, Jeroen V. K., Bauwens, Luc
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2020
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro +2 more
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The Econometrics of Search [PDF]
Environment and Planning A: Economy and Space, 1985 Many urban activity and location decisions can be viewed as the outcomes of sequential search processes. In this paper are addressed the special econometric aspects associated with the analysis of observations on such processes. Four distinct informational situations of particular relevance to search phenomena are identified, each one corresponding to
S R Lerman, H S Mahmassani
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Econometrics and econometric modeling
2021The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag ...
Irina Orlova +2 more
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, 2006 Econometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions or be at least insensitive to them.
Pavel Cizek, Wolfgang Härdle
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1998
What is econometrics? A few definitions are given below: The method of econometric research aims, essentially, at a conjunction of economic theory and actual measurements, using the theory and technique of statistical inference as a bridge pier. Trygve Haavelmo (1944) Econometrics may be defined as the quantitative analysis of actual economic phenomena
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What is econometrics? A few definitions are given below: The method of econometric research aims, essentially, at a conjunction of economic theory and actual measurements, using the theory and technique of statistical inference as a bridge pier. Trygve Haavelmo (1944) Econometrics may be defined as the quantitative analysis of actual economic phenomena
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The Econometrics of Convergence
2009The presence or absence of convergence between rich and poor countries represents one of the most important questions in the new growth economics. New growth theories have been explicitly designed to explain forms of divergence which do not appear in their neoclassical counterparts.
Durlauf, N, Johnson, PA, Temple, JRW
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