Results 31 to 40 of about 621,525 (301)

Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes

IEEE Access
Multivariate spatio-temporal point patterns have become increasingly common due to the advancement of technology for massive data collection. Parameter estimation is vital for understanding the distributional patterns within such data.
Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari   +4 more
doaj   +1 more source

Estimation of within-study covariances in multivariate meta-analysis

CoRR, 2020
Multivariate meta-analysis can be adapted to a wide range of situations for multiple outcomes and multiple treatment groups when combining studies together. The within-study correlation between effect sizes is often assumed known in multivariate meta-analysis while it is not always known practically.
openaire   +2 more sources

Multivariate analysis to estimate the erodibility of Latosols in Alagoas, Brazil

Diversitas Journal, 2023
Soil erodibility is one of the most important factors in understanding the erosive process. In view of the need to explore methods for determining the values of erodibility by simulated rainfall, the objective was to evaluate, through the tools of multivariate statistics, the erodibility of Latosols from Alagoas influenced by the physical, chemical and
Felipe Ferreira Martins, Mayara Rodrigues Nascimento, Maiane Rodrigues do Nascimento, Renato Luiz Tertuliano De Gois, Márcio Aurélio Lins Dos Santos, Cícero Gomes Dos Santos   +5 more
openaire   +2 more sources

Weak convergence of the empirical copula process with respect to weighted metrics [PDF]

, 2014
The empirical copula process plays a central role in the asymptotic analysis of many statistical procedures which are based on copulas or ranks. Among other applications, results regarding its weak convergence can be used to develop asymptotic theory for
Berghaus, Betina, Bücher, Axel, Volgushev, Stanislav   +2 more
core   +2 more sources

Factor copula models for item response data [PDF]

, 2015
Factor or conditional independence models based on copulas are proposed for multivariate discrete data such as item responses. The factor copula models have interpretations of latent maxima/minima (in comparison with latent means) and can lead to more ...
A. Maydeu-Olivares, A. Maydeu-Olivares, A. Panagiotelis, A.H. Stroud, A.J. McNeil, Aristidis K. Nikoloulopoulos, B. Muthén, C. Genest, D. Bartholomew, D. Kurowicka, E. Chang, E.C. Brechmann, E.L. Lehmann, F. Olsson, H. Hult, H. Joe, H. Joe, H.F. Kaiser, Harry Joe, J. Braeken, J. Braeken, J. Hull, K. Aas, K.G. Jöreskog, L.M. Menezes de, M. Scheier, M. Sklar, P. Krupskii, R. Gibbons, R.P. McDonald   +29 more
core   +1 more source

Reliable inference for complex models by discriminative composite likelihood estimation

, 2015
Composite likelihood estimation has an important role in the analysis of multivariate data for which the full likelihood function is intractable. An important issue in composite likelihood inference is the choice of the weights associated with lower ...
Ferrari, Davide, Zheng, Chao
core   +1 more source

Bayesian Estimation in Multivariate Analysis

The Annals of Mathematical Statistics, 1965
Abstract : The Bayes approach to Multivariate Analysis taken previously by Geisser and Cornfield (JRSS Series B, 1963 No. 2, pp. 368-376) is extended and given a more comprehensive treatment. Posterior joint and marginal densities are derived for vector means, linear combinations of means; simple and partial variances; simple, partial and multiple ...
openaire   +3 more sources

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

Multivariable adaptive parameter and state estimators with convergence analysis [PDF]

The Journal of the Australian Mathematical Society. Series B. Applied Mathematics, 1979
AbstractThe convergence properties of a very general class of adaptive recursive algorithms for the identification of discrete-time linear signal models are studied for the stochastic case using martingale convergence theorems. The class of algorithms specializes to a number of known output error algorithms (also called model reference adaptive schemes)
Moore, J. B., Ledwich, G.
openaire   +1 more source