Results 51 to 60 of about 14,010 (266)
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Economists continue to debate the importance of nonlinearity to their discipline. When it comes to forecasting levels, unit roots seems to be quite prevalent, and there has been a great deal of skepticism about nonlinear models. See the arguments pro and con in Ramsey (1996).
Mizrach, Bruce, Watkins, James
openaire +2 more sources
Markov Regime-Switching and Unit Root Tests [PDF]
We investigate the power and size performance of unit root tests when the true data generating process undergoes Markov regime-switching. All tests, including those robust to a single break in trend growth rate, have very low power against a process with a Markov-switching trend growth rate as in Lam (1990).
Jeremy Max Piger +2 more
openaire +2 more sources
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang +11 more
wiley +1 more source
A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma +22 more
wiley +1 more source
Theory and Inference for a Markov Switching GARCH Model [PDF]
Summary: We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity and existence of moments of the process.
BAUWENS, Luc +2 more
openaire +5 more sources
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
The Effect of Trade Volume on TEPIX Index in Bear and Bull Cycles: An Application of Markov-Switching Model [PDF]
In this paper, the effect of trade volume on TEPIX index is investigated based on bull and bear cycles of Tehran stock Exchange (TSE) using nonlinear Markov-Switching model.
Abbas Kalantari, Navid Khalil Paktinat
doaj
EARLY WARNING INDICATORS STUDY OF BANK RUNS IN INDONESIA : MARKOV-SWITCHING APPROACH
A run on a particular bank can lead to a banking crisis if it spreads to other banks (contagious effect). In the case of Indonesia, bank runs have also reoccurred time and again.
Iskandar Simorangkir
doaj +1 more source
Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C +2 more
wiley +1 more source

