Results 141 to 150 of about 7,552,651 (318)
Parameterisation and Efficient MCMC Estimation of Non-Gaussian State Space Models [PDF]
The impact of parameterisation on the simulation efficiency of Bayesian Markov chain Monte Carlo (MCMC) algorithms for two non-Gaussian state space models is examined.
Chris M Strickland +2 more
core
Adaptive detection of distributed targets in compound-Gaussian noise without secondary data: A Bayesian approach [PDF]
In this paper, we deal with the problem of adaptive detection of distributed targets embedded in colored noise modeled in terms of a compound-Gaussian process and without assuming that a set of secondary data is available.The covariance matrices of the ...
Bandiera, Francesco +6 more
core +1 more source
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Predictable Signals in Excess Returns: Evidence from Non-Gaussian State Space Models [PDF]
The present work investigates predictable components in size-based and value-weighted market portfolios excess returns from NYSE, AMEX, and NASDAQ stocks over US Treasury bills using various Gaussian and non-Gaussian versions of state space or unobserved
Khurshid Kiani
core
Synthesizing nonstationary, non-Gaussian wheeled vehicle vibrations [PDF]
This paper presents a novel technique by which non-Gaussian vibrations are synthesized by generating a sequence of random Gaussian processes of varying root-mean-square (rms) levels and durations.
Sek, Michael A, Rouillard, Vincent
core
Stochastic Resonance in a special type of Asymmetric Nonlinear System Driven by Correlated Noise
We have analyzed the phenomenon of stochastic resonance in an asymmetric bistable system driven by multiplicative non-Gaussian noise and additive Gaussian noise.
FAN Ze-Ning +4 more
doaj
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]
It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Rogers, S., Girolami, M.
core
Non-Gaussian seasonal adjustment
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source

