Results 251 to 260 of about 527,420 (298)

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 661-686, November 2026.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Geometric Sensitivity Measures for Bayesian Nonparametric Density Estimation Models. [PDF]

Sankhya Ser A, 2019
Saha A, Kurtek S.
europepmc   +1 more source

Revisiting reliability and measurement precision: Towards a unified perspective

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 3, Page 479-492, November 2026.
Abstract This article revisits the concepts of reliability and measurement precision across classical test theory (CTT), item response theory (IRT) and cognitive diagnosis models (CDMs), emphasizing their conceptual differences and proposing a unified framework.
Jimmy de la Torre, Klaas Sijtsma, Rodrigo Schames Kreitchmann   +2 more
wiley   +1 more source

Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game. [PDF]

Nat Commun, 2019
McDonald KR, Broderick WF, Huettel SA, Pearson JM.   +3 more
europepmc   +1 more source

Microbial Profiling, Metabolic Adaptation, and Growth Kinetic Modeling of Intact and Mechanically Damaged Milk Kefir Grains During Successive Batch Fermentations

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
Kefir grains were propagated through successive batch fermentation cycles and evaluated for biomass growth, metabolic adaptation, microbial community shifts, and growth kinetics. Mechanical damage reduced biomass regeneration, while the reduced Baranyi model provided the best description of growth dynamics.
Adelmo Cavalcante Pascoal Filho, Isabella Maria de Moura Silva, Khrizia Tainã da Silva Roque, Maria Clara Primo de Farias, Gustavo Luis de Paiva Anciens Ramos, Adriano Gomes da Cruz, Marcos Antonio de Morais Junior, Emmanuela Prado de Paiva Azevedo, Rodrigo Barbosa Acioli de Oliveira   +8 more
wiley   +1 more source

Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference. [PDF]

Entropy (Basel), 2018
Xiong S, Fu Y, Ray A.
europepmc   +1 more source

Robust Estimation and Inference for Time‐Varying Unconditional Volatility

Journal of Time Series Analysis, Volume 47, Issue 6, Page 1139-1152, November 2026.
ABSTRACT We derive a general and robust estimator of a large class of parametric specifications of time‐varying unconditional volatility of financial returns, both univariate and multivariate, and establish the Consistency and Asymptotic Normality (CAN) of the estimator.
Adam Lee, Rickard Sandberg, Genaro Sucarrat   +2 more
wiley   +1 more source

Bayesian nonparametric generative models for causal inference with missing at random covariates. [PDF]

Biometrics, 2018
Roy J, Lum KJ, Zeldow B, Dworkin JD, Re VL, Daniels MJ.   +5 more
europepmc   +1 more source

Wilt Disease on Passion Fruit in Brazil Is Caused by Members of the Fusarium oxysporum Species Complex and Fusarium udum

Plant Pathology, Volume 75, Issue 6, November‐December 2026.
Fusarium triseptatum, F. kalimantanense, and Fusarium inflexum Clade, all members of the Fusarium oxysporum species complex FOSC, together with F. udum, a member of the Fusarium fujikuroi species complex FFSC, are reported for the first time as aetiological agents of Fusarium wilt of Passiflora.
Janaina M. Sousa, Tatiane Carla Silva, Marileide M. Costa, Sarah S. C. Guimarães, Adelica A. Xavier, Jeferson Mateus Dariva, Ludwig H. Pfenning   +6 more
wiley   +1 more source

Extra hidden states under emission misspecification in hidden Markov models

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract Additional states in a hidden Markov model (HMM) can compensate for restrictive emission distributions without representing additional scientific regimes. We study this distinction using the established representation of mixture components as refined states.
Aurélien Nicosia
wiley   +1 more source