Results 91 to 100 of about 21,776,804 (321)

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Investigating item complexity as a source of cross-national DIF in TIMSS math and science

Large-scale Assessments in Education
Background Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or ...
Qi Huang, Daniel M. Bolt, Weicong Lyu
doaj   +1 more source

Model robustness of finite state nonlinear filtering over the infinite time horizon

, 2007
We investigate the robustness of nonlinear filtering for continuous time finite state Markov chains, observed in white noise, with respect to misspecification of the model parameters. It is shown that the distance between the optimal filter and that with
Chigansky, Pavel, van Handel, Ramon
core   +1 more source

A consensus model in legislative decision‐making: The council of the European Union

European Policy Analysis, EarlyView.
Abstract The culture of consensus influences legislative decision‐making within the Council of the European Union, often leading to broad coalitions in which even the preferences of isolated member states are considered. Nevertheless, despite its significance, this culture has been insufficiently studied through formal models predicting EU legislative ...
Arash Pourebrahimi
wiley   +1 more source

Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators

, 2018
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models.
Bollen, Kenneth A., Fisher, Zachary F., Henry, Teague R.   +2 more
core  

Coherent Forecasting of Realized Volatility

Journal of Forecasting, EarlyView.
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley   +1 more source

Robust Portfolio Optimization with Environmental, Social, and Corporate Governance Preference

Risks
This study addresses the crucial but under-explored topic of ambiguity aversion, i.e., model misspecification, in the area of environmental, social, and corporate governance (ESG) within portfolio decisions.
Marcos Escobar-Anel, Yiyao Jiao
doaj   +1 more source

The Effect of Voluntary Staying at Home on Japanese Female Suicide During the COVID‐19 Pandemic

Health Economics, EarlyView.
ABSTRACT In Japan, female suicide increased during the COVID‐19 pandemic. This study evaluated how pandemic‐related home confinement affected female suicide. We employed a shift‐share instrumental variable design to assess whether differential exposure to the pandemic caused changes in suicide incidence.
Yoko Ibuka, Haruo Kakehi, Ryuki Kobayashi, Ryo Nakajima   +3 more
wiley   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source

A partially heterogeneous weighted fusion learning method for potential heterogeneous treatment effect in multi-site survival study

BMC Medical Research Methodology
Background In multi-site studies in clinical practice, the treatment effects may exhibit potential heterogeneity across different sites. Additionally, propensity score methods used to adjust for confounding may suffer from model misspecification, which ...
Chen Huang, Kecheng Wei, Yongfu Yu, Guoyou Qin   +3 more
doaj   +1 more source