Results 91 to 100 of about 13,398 (256)
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
core
, 2016 Previous research has suggested that the use of item parcels in structural equation modeling can lead to biased structural coefficient estimates and low power to detect model misspecification.
Rhemtulla, M.
core +1 more source
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
Efficient Imitation under Misspecification
CoRRWe consider the problem of imitation learning under misspecification: settings where the learner is fundamentally unable to replicate expert behavior everywhere. This is often true in practice due to differences in observation space and action space expressiveness (e.g. perceptual or morphological differences between robots and humans).
Nicolas A. Espinosa Dice +3 more
openaire +3 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
MathematicsPoisson mixed-effects models are essential for analyzing repeated count data, relying on latent random effects to account for unobserved heterogeneity and longitudinal dependence.
Jairo A. Ángel, Jorge I. Vélez
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
Generalization Analysis for Bayesian Optimal Experiment Design under Model Misspecification [PDF]
In many settings in science and industry, such as drug discovery and clinical trials, a central challenge is designing experiments under time and budget constraints.
Tang, Roubing +2 more
core +1 more source
Model misspecification analysis for bond options and Markovian hedging strategies [PDF]
, 2007 In this paper, we analyse the model misspecification risk of Markovian hedging strategies for discount bond options. We show how to decompose the Profit and Loss that results from model misspecification, and emphasize the importance of the position's ...
Gibson, Rajna +4 more
core +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