Results 151 to 160 of about 71,442 (256)

Infinite hidden Markov models can dissect the complexities of learning. [PDF]

Nat Neurosci
Bruijns SA, International Brain Laboratory, Bougrova K, Laranjeira IC, Lau PYP, Meijer GT, Miska NJ, Noel JP, Pan-Vazquez A, Roth N, Socha KZ, Urai AE, Dayan P.   +12 more
europepmc   +1 more source

Empirical Assessment of Storm‐Time Thermospheric Density Inversion Methods From LEO POD Data

Earth and Space Science, Volume 13, Issue 8, August 2026.
Abstract Thermospheric mass density is one of the largest sources of operational uncertainty for spacecraft in low Earth orbit, particularly during geomagnetic storms. The growing population of Global Navigation Satellite System‐equipped satellites presents a data set of opportunity: precise orbit determination (POD) data streams can be used to ...
Charles Constant, Indigo Brownhall, Anasuya Aruliah, Marek Ziebart, Santosh Bhattarai   +4 more
wiley   +1 more source

Analyzing the digital customer journey: a novel framework for sequential behavior modeling. [PDF]

Sci Rep
Bar-El L, Chalutz-BenGal H, Gazit S, Patalon T, Ben-Gal I.   +4 more
europepmc   +1 more source

Improving Malaria Parasite Gene Flow Inference Under Sparse Spatial Sampling

Molecular Ecology Resources, Volume 26, Issue 6, August 2026.
ABSTRACT Estimating malaria parasite migration is crucial for informing elimination strategies, particularly by identifying regions with higher parasite migration that may serve as transmission sources and intervention targets. Methods that infer spatial variations in gene flow from georeferenced genetic data, including Estimated Effective Migration ...
Yao Li, Bing Guo, Timothy D. O'Connor, Shannon Takala‐Harrison, Kathleen Stewart   +4 more
wiley   +1 more source

Modeling unobserved heterogeneity in multistate event history data using frailty and weighted survival approaches. [PDF]

Sci Rep
Tripathy A, Vishwakarma GK, Bhattacharjee A.   +2 more
europepmc   +1 more source

Inference on state occupancy in covariate‐driven hidden Markov models

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2436-2448, August 2026.
Abstract Hidden Markov models (HMMs) are natural and popular tools for analysing animal behaviour based on movement, acceleration and other sensor data. In particular, these models make it possible to infer how the animal's decision‐making process interacts with internal and external drivers by relating the probabilities of switching between distinct ...
Maya Natascha Vienken, Jan‐Ole Fischer, Roland Langrock   +2 more
wiley   +1 more source

An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]

Sensors (Basel)
Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc   +1 more source

Rethinking areas of endemism and barriers: perspectives for a causal historical biogeography and a critique of Schultz and Cracraft (2024)

Cladistics, Volume 42, Issue 4, Page 401-412, August 2026.
Abstract Historical biogeography faces a persistent conceptual and methodological dilemma concerning the nature of its central analytical units. Using the recent proposal by Schultz and Cracraft (Cladistics 40, 653) as a catalyst, this article critiques the argument that causal inference necessitates the replacement of areas of endemism with barriers ...
Augusto Ferrari
wiley   +1 more source

Calibration, Sensitivity and Uncertainty Analysis of Complex Ecological Models-A Review. [PDF]

Ecol Lett
Malchow AK, Hartig F.
europepmc   +1 more source

An experimental approach to assess the combined effects of multiple stressors on a large vertebrate species

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract The design of experiments to investigate the combined effects of multiple stressors requires exposing target organisms to multiple combinations of stressor doses. Concurrent manipulation of stressors is often infeasible with wildlife, but long‐lasting health effects allow individual health to be used as an integrator of prior stressor exposure.
Enrico Pirotta, Catriona M. Harris, Lori H. Schwacke, Len Thomas, Jason B. Allen, Aaron A. Barleycorn, Marco Casoli, Jonathan Crossman, Laura Aichinger Dias, Laura Engleby, Erin LaBrecque, Jenny A. Litz, Katherine A. McHugh, Patrick J. O. Miller, Michael J. Moore, Theoni Photopoulou, Brian M. Quigley, Cynthia R. Smith, Brandon L. Southall, Todd R. Speakman, Ryan Takeshita, Christina N. Toms, Randall S. Wells, Eric S. Zolman, Peter L. Tyack   +24 more
wiley   +1 more source