Name: Mathieu GERBER (Bristol University) ” A Global Stochastic Optimization Particle Filter Algorithm”
Start: 2022-07-07T14:45:00+02:00
End: 2022-07-07T15:30:00+02:00

Salima EL-KOLEI
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Hidden Markov Chains
Parametric model
Particle filter
Deconvolution.

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Davide LA VECCHIA (Geneve University) “STATISTICAL ANALYSIS OF NETWORK DATA: LEARNING FROM SMALL SAMPLES (WITH A COUPLE OF DETOURS)”

HAMDI Raissi (PUCV, Chile) “DIAGNOSTIC TESTS FOR STOCKS WITH TIME-VARYING ZERO RETURNS PROBABILITY”

Charles MARGOSSIAN (Columbia) – “Nested $\hat R$: Assessing the convergence of Markov chains Monte Carlo when running many short chains”

Mathieu GERBER (Bristol University) ” A Global Stochastic Optimization Particle Filter Algorithm”

Salima EL-KOLEI

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Davide LA VECCHIA (Geneve University) “STATISTICAL ANALYSIS OF NETWORK DATA: LEARNING FROM SMALL SAMPLES (WITH A COUPLE OF DETOURS)”

HAMDI Raissi (PUCV, Chile) “DIAGNOSTIC TESTS FOR STOCKS WITH TIME-VARYING ZERO RETURNS PROBABILITY”

Charles MARGOSSIAN (Columbia) – “Nested $\hat R$: Assessing the convergence of Markov chains Monte Carlo when running many short chains”

Mathieu GERBER (Bristol University) ” A Global Stochastic Optimization Particle Filter Algorithm”

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