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    伯努利过程Branching process(英语:Branching process)中餐馆过程Galton–Watson process(英语:Galton–Watson process)Independent and identically distributed random variables(英语:Independent and identically distributed random variables)马尔可夫链Moran process(英语:Moran process)随机游走Loop-erased(英语:Loop-erased random walk)Self-avoiding(英语:Self-avoiding walk)Bessel process(英语:Bessel process)出生-死亡过程维纳过程/布朗运动布朗桥Excursion(英语:Brownian excursion)Fractional(英语:Fractional Brownian motion)几何布朗运动Meander(英语:Brownian meander)Cauchy process(英语:Cauchy process)Contact process(英语:Contact process (mathematics))Cox process(英语:Cox process)Diffusion process(英语:Diffusion process)Empirical process(英语:Empirical process)Feller process(英语:Feller process)Fleming–Viot process(英语:Fleming–Viot process)Gamma process(英语:Gamma process)Hunt process(英语:Hunt process)Interacting particle system(英语:Interacting particle system)s伊藤积分伊藤过程Jump diffusion(英语:Jump diffusion)跳跃过程莱维过程Local time(英语:Local time (mathematics))Markov additive process(英语:Markov additive process)McKean–Vlasov process(英语:McKean–Vlasov process)Ornstein–Uhlenbeck process(英语:Ornstein–Uhlenbeck process)泊松过程Compound(英语:Compound Poisson process)Non-homogeneousPoint processSchramm–Loewner evolution(英语:Schramm–Loewner evolution)半鞅Sigma-martingale(英语:Sigma-martingale)Stable process(英语:Stable process)Superprocess(英语:Superprocess)Telegraph process(英语:Telegraph process)Variance gamma process(英语:Variance gamma process)维纳过程Wiener sausage(英语:Wiener sausage)Branching process(英语:Branching process)Gaussian process(英语:Gaussian process)隐马尔可夫模型(HMM)马可夫过程鞅Differences(英语:Martingale difference sequence)Local(英语:Local martingale)Sub-Super-(英语:Super-)Random dynamical system(英语:Random dynamical system)Regenerative process(英语:Regenerative process)Renewal process(英语:Renewal process)白噪声Dirichlet process(英语:Dirichlet process)Gaussian random field(英语:Gaussian random field)Gibbs measure(英语:Gibbs measure)Hopfield神经网络易辛模型马尔可夫网络Percolation(英语:Percolation theory)Pitman–Yor process(英语:Pitman–Yor process)Point process(英语:Point process)Cox(英语:Point process#Cox point process)PoissonPotts model(英语:Potts model)随机场随机图ARCH模型ARIMA模型自回归模型ARMA模型广义ARCH模型滑动平均模型(英语:Moving-average model)Black–Derman–Toy(英语:Black–Derman–Toy model)Black–Karasinski(英语:Black–Karasinski model)布莱克-舒尔兹模型陈模型Constant elasticity of variance (CEV)(英语:Constant elasticity of variance model)Cox–Ingersoll–Ross (CIR)(英语:Cox–Ingersoll–Ross model)Garman–Kohlhagen(英语:Garman–Kohlhagen model)Heath–Jarrow–Morton (HJM)(英语:Heath–Jarrow–Morton framework)Heston(英语:Heston model)Ho–Lee(英语:Ho–Lee model)赫尔怀特模型LIBOR market(英语:LIBOR market model)SABR volatility(英语:SABR volatility model)Vašícek(英语:Vasicek model)Bühlmann(英语:Bühlmann model)Cramér–Lundberg(英语:Cramér–Lundberg model)Risk process(英语:Risk process)Sparre–Anderson(英语:Sparre–Anderson model)Bulk(英语:Bulk queue)Fluid(英语:Fluid queue)Generalized queueing network(英语:G-network)M/G/1(英语:M/G/1 queue)M/M/1M/M/c(英语:M/M/c queue)右连左极函数Continuous(英语:Continuous stochastic process)Continuous paths(英语:Sample-continuous process)遍历性Exchangeable(英语:Exchangeable random variables)Feller-continuous(英语:Feller-continuous process)Gauss–Markov(英语:Gauss–Markov process)马尔可夫性质Mixing(英语:Mixing (mathematics))Piecewise deterministic(英语:Piecewise deterministic Markov process)可预测过程循序可测过程Self-similar(英语:Self-similar process)平稳过程Time-reversible(英语:Time reversibility)中心极限定理Donsker's theorem(英语:Donsker's theorem)Doob's martingale convergence theorems(英语:Doob's martingale convergence theorems)遍历理论Fisher–Tippett–Gnedenko theorem(英语:Fisher–Tippett–Gnedenko theorem)Large deviation principle(英语:Large deviation principle)大数定律重对数律Maximal ergodic theorem(英语:Maximal ergodic theorem)Sanov's theorem(英语:Sanov's theorem)Burkholder–Davis–Gundy(英语:Burkholder–Davis–Gundy inequalities)Doob's martingale(英语:Doob's martingale inequality)Kunita–Watanabe(英语:Kunita–Watanabe inequality)Cameron–Martin formula(英语:Cameron–Martin formula)随机变量的收敛Doléans-Dade exponential(英语:Doléans-Dade exponential)Doob decomposition theorem(英语:Doob decomposition theorem)Doob–Meyer decomposition theorem(英语:Doob–Meyer decomposition theorem)Doob's optional stopping theorem(英语:Doob's optional stopping theorem)Dynkin's formula(英语:Dynkin's formula)费曼-卡茨公式右连左极函数Girsanov theorem(英语:Girsanov theorem)Infinitesimal generator(英语:Infinitesimal generator (stochastic processes))伊藤积分伊藤引理Kolmogorov continuity theorem(英语:Kolmogorov continuity theorem)Kolmogorov extension theorem(英语:Kolmogorov extension theorem)Lévy–Prokhorov metric(英语:Lévy–Prokhorov metric)Malliavin calculus(英语:Malliavin calculus)Martingale representation theorem(英语:Martingale representation theorem)Optional stopping theorem(英语:Optional stopping theorem)Prohorov theorem(英语:Prohorov theorem)Quadratic variation(英语:Quadratic variation)Reflection principle(英语:Reflection principle (Wiener process))Skorokhod integral(英语:Skorokhod integral)Skorokhod's representation theorem(英语:Skorokhod's representation theorem)右连左极函数Snell envelope(英语:Snell envelope)随机微分方程Tanaka(英语:Tanaka equation)停时随机积分Uniform integrability(英语:Uniform integrability)Usual hypotheses(英语:Usual hypotheses)维纳空间Classical(英语:Classical Wiener space)Abstract精算学计量经济学遍历理论极值理论(EVT)Large deviations theory(英语:Large deviations theory)金融数学数理统计学概率论等候理论Renewal theory(英语:Renewal theory)Ruin theory(英语:Ruin theory)统计学随机分析时间序列分析机器学习List of topics分类分类取自“https://zh.wikipedia.org/w/index.php?title=中餐馆过程&oldid=38156262”分类:随机过程隐藏分类:自2011年11月缺少来源的条目自2011年12月需要专业人士关注的页面
    在概率论中,中餐馆过程(Chinese restaurant process)是一个离散的随机过程。对任意正整数 n ,在时刻 n 时的随机状态是集合 {1, 2, ..., n} 的一个分化 Bn 。在时刻 1 , B1={ { 1 } } 的概率为 1 。在时刻 n+1,n+1 并入下列之一:

    Bn 的元素之一,选中每个元素 b 的概率正比于其包含数字的个数,即 |b|/(n+1)。Bn,成为其一个新元素,概率为 1/(n+1)。
    查论编概率论:随机过程离散时间(英语:Discrete-time stochastic process)连续时间(英语:Continuous-time stochastic process)BothFields and other时间序列模型金融模型精算学等候理论性质Limit theorems不等式工具Disciplines
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