Results 41 to 50 of about 8,492,854 (308)

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models

Journal of Statistical Software, 2021
Statistical analyses of directional or angular data have applications in a variety of fields, such as geology, meteorology and bioinformatics. There is substantial literature on descriptive and inferential techniques for univariate angular data, with the
Saptarshi Chakraborty, Samuel W. K. Wong
doaj   +1 more source

The VampPrior Mixture Model

CoRR
Widely used deep latent variable models (DLVMs), in particular Variational Autoencoders (VAEs), employ overly simplistic priors on the latent space. To achieve strong clustering performance, existing methods that replace the standard normal prior with a Gaussian mixture model (GMM) require defining the number of clusters to be close to the number of ...
Andrew Stirn, David A. Knowles
openaire   +4 more sources

On Learning Mixture Models for Permutations [PDF]

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015
In this paper we consider the problem of learning a mixture of permutations, where each component of the mixture is generated by a stochastic process. Learning permutation mixtures arises in practical settings when a set of items is ranked by different sub-populations and the rankings of users in a sub-population tend to agree with each other.
CHIERICHETTI, FLAVIO, A. Dasgupta, R. Kumar, S. Lattanzi   +3 more
openaire   +2 more sources

Semiparametric imputation using conditional Gaussian mixture models under item nonresponse [PDF]

, 2022
Imputation is a popular technique for handling item nonresponse. Parametric imputation is based on a parametric model for imputation and is not robust against the failure of the imputation model.
Kim, Jae Kwang, Lee, Danhyang
core  

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Uncovering the heterogeneity of a solar flare mechanism with mixture models

Frontiers in Astronomy and Space Sciences
The physics of solar flares occurring on the Sun is highly complex and far from fully understood. However, observations show that solar eruptions are associated with the intense kilogauss fields of active regions, where free energies are stored with ...
Bach Viet Do, Yang Chen, Yang Chen, XuanLong Nguyen, Ward Manchester   +4 more
doaj   +1 more source

A Mixture Integer-Valued Garch Model

Revstat Statistical Journal, 2016
In this paper, we generalize the mixture integer-valued ARCH model (MINARCH) introduced by Zhu et al. (2010) (F. Zhu, Q. Li, D. Wang. A mixture integer-valued ARCH model, J. Statist. Plann.
Mamadou Lamine Diop , Aliou Diop , Abdou Kâ Diongue   +2 more
doaj   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

STENSL: Microbial Source Tracking with ENvironment SeLection

mSystems, 2022
Microbial source tracking analysis has emerged as a widespread technique for characterizing the properties of complex microbial communities. However, this analysis is currently limited to source environments sampled in a specific study.
Ulzee An, Liat Shenhav, Christine A. Olson, Elaine Y. Hsiao, Eran Halperin, Sriram Sankararaman   +5 more
doaj   +1 more source

Testing for homogeneity in mixture models [PDF]

Econometric Theory, 2017
Statistical models of unobserved heterogeneity are typically formalized as mixtures of simple parametric models and interest naturally focuses on testing for homogeneity versus general mixture alternatives. Many tests of this type can be interpreted asC(α) tests, as in Neyman (1959), and shown to be locally asymptotically optimal.
Jiaying Gu, Roger Koenker, Stanislav Volgushev   +2 more
openaire   +6 more sources