Results 41 to 50 of about 337,305 (266)
Learning hierarchical models of activity [PDF]
This paper investigates learning hierarchical statistical activity models in indoor environments. The abstract hidden Markov model (AHMM) is used to represent behaviors in stochastic environments. We train the model using both labeled and unlabeled data and estimate the parameters using expectation maximization (EM). Results are shown on three datasets:
Sarah Osentoski +2 more
openaire +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Monitoring Animal Populations With Cameras Using Open, Multistate, N‐Mixture Models
Remote cameras have become a mainstream tool for studying wildlife populations. For species whose developmental stages or states are identifiable in photographs, there are opportunities for tracking population changes and estimating demographic rates ...
Alexej P. K. Sirén +12 more
doaj +1 more source
IntroductionFluctuating selection, the changes in the strength and/or direction of natural selection stemming from fine-scale spatio-temporal environmental variation, is a fundamental, yet rarely tested explanation for the maintenance of phenotypic ...
Anna Biró +12 more
doaj +1 more source
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto +5 more
doaj +1 more source
Hierarchical Interaction Models
SUMMARY Lauritzen and Wermuth have proposed a class of models for mixed qualitative and continuous data, defined by two properties: that the continuous variables are normally distributed given the qualitative variables and that a set of conditional independence relations hold between specified pairs of variables.
openaire +2 more sources
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Modeling the spatial distribution of wildlife abundance is paramount for management. In group‐forming species, group size and occurrence may be governed by different ecological processes.
Zackary J. Delisle +9 more
doaj +1 more source
dalmatian: A Package for Fitting Double Hierarchical Linear Models in R via JAGS and nimble
Traditional regression models, including generalized linear mixed models, focus on understanding the deterministic factors that affect the mean of a response variable.
Simon Bonner +5 more
doaj +1 more source

