Publications associées à Conditional probability distribution

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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Toyomu Matsuda

We give an extension of Le's stochastic sewing lemma. The stochastic sewing lemma proves convergence in

L_m

of Riemann type sums

\sum _{[s,t] \in \pi } A_{s,t}

for an adapted two-parameter stochastic process A, under certain conditions on the moments o ...

Cambridge Univ Press2024

Conditional probability distribution

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Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

On distributional autoregression and iterated transportation

Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion

Geometrically-Conditioned Point Diffusion Models

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions

Resource aware pricing for electric vehicle charging

Stochastic particle transport by deep-water irregular breaking waves

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

On distributional autoregression and iterated transportation

Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion

Stochastic particle transport by deep-water irregular breaking waves

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Geometrically-Conditioned Point Diffusion Models

Resource aware pricing for electric vehicle charging

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Density Estimation In Rkhs With Application To Korobov Spaces In High Dimensions