An invariant distribution in Computer Science refers to a probability distribution that remains unchanged over time in a Markov chain, where the rate of transitions out of a state equals the rate of transitions into that state. AI generated definition based on: High-Performance Communication Networks...
probability/ extremal imprecise invariant distributionconvergenceMarkov chainsminimal permanent classesprobability mass/ A0540 Fluctuation phenomena, random processes, and Brownian motion A0260 Numerical approximation and analysis A0250 Probability theory, stochastic processes, and statistics...
We pose a Bayesian formulation of the inverse problem associated to recovering both the support and the refractive index of a convex obstacle given measurements of near-field scattered waves. Aiming at sampling efficiently from the arising posterior distribution using Markov Chain Monte Carlo, we ...
Moreover, bulk-boundary correspondence and edge distribution of biomass37,53,75 may be further identified using the invariant derived in this work. Methods Our primary methods were analytical theories accompanied by computer-aided simulations on MATLAB interface. Nonlinear bulk modes were numerically ...
The support of a probability distribution Q0 on a topological space is the largest Borel set S with the following property: if U is an open set with non-empty intersection with S, then Q0(U∩S)>0. References Albeverio, S., Ferrario, B.: Uniqueness of solutions of the stochastic Navie...
. in particular, since the heart of the proof consists in studying the situation at a time well before mixing, and purely to take advantage of the giant component at such times, we never have to study the distribution of small cycles. this is really quite surprising, given that the small...
shape parameter of the GGD-distribution. We will in this paper assume 0 < ν < 2. We may then define the marginal distribution m(x|γ, λ), conditioned on the model γ and the signal power governing parameter λ, for the dataset x: (5) m(x|γ, λ) def = θ∈R k ,τ∈R...
We revisit the problem of finding the conditions under which synchronous probabilistic cellular automata indexed by the line Z, or the periodic line Z/nZ, depending on 2 neighbours, admit as invariant distribution the law of a space-indexed Markov chain. Our advances concern PCA defined on a fi...
The properties of invariant measure on Ψ-irreducibility of random environments markov chain 随机环境马氏链的Ψ一不可约下不变测度性质 3. A Note to the Frobenius-Perron operator and invariant measure 关于Frobenius-Perron算子、不变测度的一点注记 更多例句>> 6) signed measure μ 广义测度μ补充...
The lattice generated distribution displays returns calculated for varying holding period lengths, with the weights a function of the amount of time for which the assets are held by the various investors. The NASDAQ generated distribution displays returns calculated as the ratio of index prices ...