Results 101 to 110 of about 29,799 (296)
Identifying the sources of model misspecification
, 2015 In this paper we propose an empirical method for detecting and identifying misspecification in structural economic models. Our approach formalizes the common practice of adding "shocks" in the model, and identifies potential misspecification via forecast
Kuo, Chun-Hung +2 more
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The Career Development Quarterly, EarlyView.ABSTRACT This study investigated the role of career future time perspective as a psychological resource in fostering students’ well‐being within the theoretical framework of Career Construction Theory and the Life Design paradigm. Specifically, we examined the extent to which career future time perspective predicts life satisfaction and academic ...
Andrea Zammitti +3 more
wiley +1 more source
Dealing with Misspecification in DSGE Models: A Survey [PDF]
, 2017 Dynamic Stochastic General Equilibrium (DSGE) models are the main tool used in Academia and in Central Banks to evaluate the business cycle for policy and forecasting analyses.
Paccagnini, Alessia
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Frontiers in Psychology, 2018 The performance of the limited-information statistic M2 for diagnostic classification models (DCMs) is under-investigated in the current literature. Specifically, the investigations of M2 for specific DCMs rather than general modeling frameworks are ...
Fu Chen, Yanlou Liu, Tao Xin, Ying Cui
doaj +1 more source
Convex Models, MLS and Misspecification
The Annals of Statistics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Canadian Journal of Statistics, EarlyView.Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
CPT: Pharmacometrics & Systems PharmacologyWe address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose
Christos Kaikousidis +2 more
doaj +1 more source
Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
Frontiers in Ecology and Evolution, 2019 The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis +4 more
doaj +1 more source
Complexity and Misspecification
We propose a tractable model of repeated decision problems that combines concern about model misspecification, as in robust control, with a complexity cost, such as Shannon entropy, that makes pessimistic beliefs trade off statistical plausibility against simplicity. In a static setting, stronger complexity aversion selects more concentrated worst-case
Fudenberg, Drew, Mudekereza, Florian
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Canadian Journal of Statistics, EarlyView.Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source