Results 261 to 270 of about 527,420 (298)

Density ratio model for multiple types of survival data with empirical likelihood

Statistica Neerlandica, Volume 80, Issue 4, November 2026.
Abstract The density ratio model (DRM) is a semiparametric model that relates the distributions from multiple samples to a nonparametrically defined reference distribution via exponential tilting, with finite‐dimensional parameters governing their differences in shape. When multiple types of partially observed (censored/truncated) failure time data are
James Hugh McVittie, Archer Gong Zhang
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

A nonparametric Bayesian approach to adaptive sampling of psychometric functions

BMC Neuroscience, 2009
Poppe Stephan, Jost Juergen, Elze Tobias
doaj   +1 more source

A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

Cancer Informatics, 2016
Kassandra M. Fronczyk, Michele Guindani, Brian P. Hobbs, Chaan S. Ng, Marina Vannucci   +4 more
doaj  

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Nonparametric Bayesian Networks

2011
Katja Ickstadt, Marco Grzegorczyk, Eli Zamir   +2 more
exaly   +3 more sources

Bayesian Nonparametrics

2016
No abstract ...
Canale, Antonio, LIJOI, ANTONIO, PRUENSTER, IGOR   +2 more
openaire   +2 more sources

Bayesian nonparametric multiple testing

Computational Statistics & Data Analysis, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
William Cipolli III, Timothy Hanson, Alexander C. McLain   +2 more
openaire   +3 more sources

Bayesian nonparametric music parser

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
This paper proposes a novel representation of music that can be used for similarity-based music information retrieval, and also presents a method that converts an input polyphonic audio signal to the proposed representation. The representation involves a 2-dimensional tree structure, where each node encodes the musical note and the dimensions ...
Masahiro Nakano, Yasunori Ohishi, Hirokazu Kameoka, Ryo Mukai, Kunio Kashino   +4 more
openaire   +2 more sources

Bayesian nonparametric language models

2012 8th International Symposium on Chinese Spoken Language Processing, 2012
Backoff smoothing and topic modeling are crucial issues in n-gram language model. This paper presents a Bayesian non-parametric learning approach to tackle these two issues. We develop a topic-based language model where the numbers of topics and n-grams are automatically determined from data.
Ying-Lang Chang, Jen-Tzung Chien
openaire   +2 more sources

Bayesian nonparametric hierarchical modeling

Biometrical Journal, 2009
AbstractIn biomedical research, hierarchical models are very widely used to accommodate dependence in multivariate and longitudinal data and for borrowing of information across data from different sources. A primary concern in hierarchical modeling is sensitivity to parametric assumptions, such as linearity and normality of the random effects ...
openaire   +2 more sources