Results 81 to 90 of about 451,378 (309)
Markov or not Markov - this should be a question [PDF]
Although it is well known that Markov process theory, frequently applied in the literature on income convergence, imposes some very restrictive assumptions upon the data generating process, these assumptions have generally been taken for granted so far ...
Bickenbach, Frank, Bode, Eckhardt
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Emergence of Unconventional Magnetic Order in Strain‐Engineered RuO2/TiO2 Superlattices
Advanced Science, EarlyView.Epitaxial strain activates unconventional magnetism in rutile RuO2, absent in bulk or relaxed RuO2. Polarized neutron reflectometry with atomic‐layer resolution directly reveals finite magnetization confined to RuO2 layers in fully strained RuO2/TiO2 superlattices on TiO2 (110).
Seung Gyo Jeong +12 more
wiley +1 more source
Health-Related Performance Decrements Resulted in Substantial Financial Loss for Team USA Athletes at the Paris 2024 Olympic Games. [PDF]
Arthrosc Sports Med RehabilPurpose To estimate the financial impact of injury and illness among Team USA athletes who participated in the Paris 2024 Olympic Games and evaluate the cost‐effectiveness of a feasible illness prevention program. Methods All Team USA athlete‐events at the Paris 2024 Olympic Games were analyzed.
Oeding JF +6 more
europepmc +2 more sources
Long memory with Markov-Switching GARCH [PDF]
The paper considers the Markov-Switching GARCH(1,1)-model with time-varying transition probabilities. It derives su?cient conditions for the square of the process to display long memory and provides some additional intuition for the empirical observation
Krämer, Walter
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Advanced Science, EarlyView.An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source
Markov-Switching Model Selection Using Kullback-Leibler Divergence [PDF]
In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Tsai, Chih-Ling +2 more
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LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
Advanced Science, EarlyView.An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source
Advanced Science, EarlyView.Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues +10 more
wiley +1 more source
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R [PDF]
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core