Results 231 to 240 of about 527,420 (298)

Using Bayesian Nonparametric Item Response Function Estimation to Check Parametric Model Fit. [PDF]

Appl Psychol Meas, 2020
Wang W, Kingston N.
europepmc   +1 more source

Nonparametric Conditional Copula Density Estimation With Applications to the Body Mass Index

Stat, Volume 15, Issue 4, December 2026.
ABSTRACT This study develops a nonparametric conditional copula density estimator that features a parametric carrier copula refined by an exponential series adjustment. We adopt the local likelihood approach for conditional distribution estimation and incorporate the influence of covariates via kernel smoothing.
Michael Z. Wu, Lan Zhou
wiley   +1 more source

Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model. [PDF]

J R Stat Soc Ser A Stat Soc
Stephenson BJK, Wu SM, Dominici F.
europepmc   +1 more source

A Sequential Monte Carlo Method for Bayesian Poisson Process Trees

Stat, Volume 15, Issue 4, December 2026.
ABSTRACT Statistical analysis of spatial point patterns often needs to deal with heterogeneous structures in intensity function estimation with possibly high‐dimensional covariate space. Likelihood based inference for spatial point process models needs to address the challenges in evaluating the multidimensional integral of random intensity function ...
Pulong Ma
wiley   +1 more source

Bayesian Nonparametric Policy Search with Application to Periodontal Recall Intervals. [PDF]

J Am Stat Assoc, 2020
Guan Q, Reich BJ, Laber EB, Bandyopadhyay D.   +3 more
europepmc   +1 more source

Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Sugarcane (Saccharum spp. hybrids), the source of ∼80% of the worlds sugar, has experienced a plateau in genetic improvement over recent decades. This stagnation is largely due to the crop's complex polyploid genome and long breeding cycles, which limit the efficiency of traditional selection methods.
Natalya Vo Van‐Zivkovic, Ben J. Hayes, Karen Aitken, Eric Dinglasan, Terry Morgan, Seema Yadav   +5 more
wiley   +1 more source

Associations Between Dissociation and Childhood Trauma in Borderline Personality Disorder and Affective Disorders: A Network Analytic Approach

Acta Psychiatrica Scandinavica, Volume 154, Issue 6, Page 418-427, December 2026.
ABSTRACT Background Dissociation and childhood trauma are strongly associated with borderline personality disorder (BPD), yet it remains unclear whether this reflects disorder‐specific mechanisms or differences in symptom severity within a shared transdiagnostic structure. Objective Using network analysis, we examined whether the conditional dependency
Philipp Wülfing, Carsten Spitzer, Judy Leibowitz, Stephen Pilling, Peter Fonagy, P. Read Montague, Tobias Nolte   +6 more
wiley   +1 more source

A Bayesian nonparametric model for bounded directional data on the positive orthant of the unit sphere. [PDF]

J Appl Stat
Geneyro E, Núñez-Antonio G.
europepmc   +1 more source

Learning Across the Divide: Understanding Knowledge Sharing Through Petrographic Analysis on Ceramics From the Rhine‐Meuse Delta During the Middle to Late Neolithic Transition (3400–2200 bce)

Archaeometry, Volume 68, Issue 6, Page 1251-1264, December 2026.
ABSTRACT Vlaardingen (VL) communities on the Dutch West coast (3400–2200 bce) are part of a unique, long‐term continuity in the European Neolithic. Despite large‐scale changes in European populations during the Neolithic, the genomic diversity and cultural practices of VL communities can be retraced to the Mesolithic.
Jisca de Bruin, Erik Kroon, Lasse van den Dikkenberg, Dennis Braekmans   +3 more
wiley   +1 more source

Frequency‐dependent contraction rates for the Bayesian method to the inverse source problem

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract This paper addresses an inverse source problem for acoustic waves in a range of frequencies. Our study has two main goals. First, although the problem is severely ill‐posed with a logarithmic stability estimate, we demonstrate, through careful analysis of the forward map's singular values, that increasing the frequency range enhances stability,
Pu‐Zhao Kow, Jenn‐Nan Wang
wiley   +1 more source