Results 161 to 170 of about 5,432,397 (302)

Algebraic formulas for first-passage times of Markov processes in the linear framework. [PDF]

Bull Math Biol
Nam KM, Gunawardena J.
europepmc   +1 more source

Efficient analysis of stochastic gene dynamics in the non-adiabatic regime using piecewise deterministic Markov processes. [PDF]

J R Soc Interface, 2018
Lin YT, Buchler NE.
europepmc   +1 more source

Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes [PDF]

This paper discusses Bayesian inference for stochastic volatility models based on continuous superpositions of Ornstein-Uhlenbeck processes. These processes represent an alternative to the previously considered discrete superpositions.
Griffin, Jim, Steel, Mark F.J.
core  

Power spectral density and the brain

Canadian Journal of Statistics, EarlyView.
Abstract Time series from M/EEG (magneto/electroencephalography) and ECoG (electrocorticography) recordings are common sources of information about brain function. The power spectral density (PSD) preserves much of this information, up to second order. In the current decade, a burst of brain diagnostics using the slope of log(PSD) has appeared.
Priscilla E. Greenwood, Sveinung Erland, Lawrence M. Ward   +2 more
wiley   +1 more source

Bounds on Fluctuations of First Passage Times for Counting Observables in Classical and Quantum Markov Processes. [PDF]

J Stat Phys
Bakewell-Smith G, Girotti F, Guţă M, P Garrahan J.   +3 more
europepmc   +1 more source

Local Composite Quantile Regression Smoothing for Harris Recurrent Markov Processes. [PDF]

J Econom, 2016
Li D, Li R.
europepmc   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

Subexponential lower bounds for <i>f</i>-ergodic Markov processes. [PDF]

Probab Theory Relat Fields
Brešar M, Mijatović A.
europepmc   +1 more source

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

Canadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

The entropy rate of Linear Additive Markov Processes. [PDF]

PLoS One
Smart B, Roughan M, Mitchell L.
europepmc   +1 more source