Results 41 to 50 of about 1,087,289 (305)

Bayesian Multivariate Spatial Models for Lattice Data with INLA

Journal of Statistical Software, 2021
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference.
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Miguel A. Martinez-Beneito   +2 more
doaj   +1 more source

Saddlepoint approximations for likelihood ratio like statistics with applications to permutation tests

, 2012
We obtain two theorems extending the use of a saddlepoint approximation to multiparameter problems for likelihood ratio-like statistics which allow their use in permutation and rank tests and could be used in bootstrap approximations.
Kolassa, John, Robinson, John
core   +1 more source

The multivariate multisample nonparametric rank statistics for the location alternatives

Austrian Journal of Statistics, 2017
Multisample testing problems are among the most important topics in nonparametric statistics. Various nonparametric tests have been proposed for multisample testing problems involving location parameters, and the analysis of multivariate data is ...
Hidetoshi Murakami
doaj   +1 more source

False discovery rate control with multivariate $p$-values

, 2008
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also positive FDR (pFDR) with good power.
Chi, Zhiyi
core   +2 more sources

Teaching Stats for Data Science [PDF]

, 2017
“Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
core   +2 more sources

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

The community ecology perspective of omics data

Microbiome, 2022
The measurement of uncharacterized pools of biological molecules through techniques such as metabarcoding, metagenomics, metatranscriptomics, metabolomics, and metaproteomics produces large, multivariate datasets.
Stephanie D. Jurburg, François Buscot, Antonis Chatzinotas, Narendrakumar M. Chaudhari, Adam T. Clark, Magda Garbowski, Matthias Grenié, Erik F. Y. Hom, Canan Karakoç, Susanne Marr, Steffen Neumann, Mika Tarkka, Nicole M. van Dam, Alexander Weinhold, Anna Heintz-Buschart   +14 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]

Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE).
Veljko Uskoković, Milica Maričić, Aleksandra Dacić-Pilčević, Veljko Jeremić   +3 more
doaj   +1 more source

Tests for covariance matrices, particularly for high dimensional data [PDF]

, 2010
Test statistics for sphericity and identity of the covariance matrix are presented, when the data are multivariate normal and the dimension, p, can be larger than the sample size, n.
Ahmad, M. Rauf
core   +1 more source