Results 61 to 70 of about 24,077 (241)
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
MathematicsWe revisit the problem of the computation of the limiting characteristics of (in)homogeneous continuous-time Markov chains with the finite state space. In general, it can be performed only numerically.
Yacov Satin +3 more
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Slow protein fluctuations explain the emergence of growth phenotypes and persistence in clonal bacterial populations. [PDF]
PLoS ONE, 2013 One of the most challenging problems in microbiology is to understand how a small fraction of microbes that resists killing by antibiotics can emerge in a population of genetically identical cells, the phenomenon known as persistence or drug tolerance ...
Andrea Rocco +2 more
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On ergodicity of some Markov processes
, 2010 We formulate a criterion for the existence and uniqueness of an invariant measure for a Markov process taking values in a Polish phase space. In addition, weak-$^*$ ergodicity, that is, the weak convergence of the ergodic averages of the laws of the ...
Komorowski, Tomasz +2 more
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Wave Tracing: Generalizing The Path Integral To Wave Optics
Computer Graphics Forum, EarlyView.Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
wiley +1 more source
Modeling Anomalous Diffusion by a Subordinated Integrated Brownian Motion
Advances in Mathematical Physics, 2017 We consider a particular type of continuous time random walk where the jump lengths between subsequent waiting times are correlated. In a continuum limit, the process can be defined by an integrated Brownian motion subordinated by an inverse α-stable ...
Long Shi, Aiguo Xiao
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Sub and supercritical stochastic quasi-geostrophic equation
, 2015 In this paper, we study the 2D stochastic quasi-geostrophic equation on $\mathbb{T}^2$ for general parameter $\alpha\in(0,1)$ and multiplicative noise.
Röckner, Michael +2 more
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A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
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Exploring Hilbert-Space Fragmentation on a Superconducting Processor
PRX QuantumIsolated interacting quantum systems generally thermalize, yet there are several examples for the breakdown of ergodicity, such as many-body localization and quantum scars.
Yong-Yi Wang +24 more
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Conditional ergodicity in infinite dimension
, 2014 The goal of this paper is to develop a general method to establish conditional ergodicity of infinite-dimensional Markov chains. Given a Markov chain in a product space, we aim to understand the ergodic properties of its conditional distributions given ...
Tong, Xin Thomson, van Handel, Ramon
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