Search Results - "Abraham, Kweku"

Fundamental limits for learning hidden Markov model parameters by Abraham, Kweku, Gassiat, Elisabeth, Naulet, Zacharie

“…We study the frontier between learnable and unlearnable hidden Markov models (HMMs). HMMs are flexible tools for clustering dependent data coming from unknown…”
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Sharp multiple testing boundary for sparse sequences by Abraham, Kweku, Castillo, Ismaël, Roquain, Étienne

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Empirical Bayes cumulative ℓ-value multiple testing procedure for sparse sequences by Abraham, Kweku, Castillo, Ismaël, Roquain, Étienne

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Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse Problems by Abraham, Kweku, Deo, Neil

“…We study the use of a deep Gaussian process (DGP) prior in a general nonlinear inverse problem satisfying certain regularity conditions. We prove that when the…”
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Nonparametric Bayesian posterior contraction rates for scalar diffusions with high-frequency data by Abraham, Kweku

“…We consider inference in the scalar diffusion model $dX_t=b(X_t)dt+\sigma(X_t)dW_t$ with discrete data $(X_{j\Delta_n})_{0\leq j \leq n}$, $n\to…”
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Frontiers to the learning of nonparametric hidden Markov models by Abraham, Kweku, Gassiat, Elisabeth, Naulet, Zacharie

“…Hidden Markov models (HMMs) are flexible tools for clustering dependent data coming from unknown populations, allowing nonparametric modelling of the…”
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Fundamental limits for learning hidden Markov model parameters by Abraham, Kweku, Naulet, Zacharie, Gassiat, Elisabeth

“…We study the frontier between learnable and unlearnable hidden Markov models (HMMs). HMMs are flexible tools for clustering dependent data coming from unknown…”
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On statistical Calder\'on problems by Abraham, Kweku, Nickl, Richard

“…For $D$ a bounded domain in $\mathbb R^d, d \ge 2,$ with smooth boundary $\partial D$, the non-linear inverse problem of recovering the unknown conductivity…”
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Sharp multiple testing boundary for sparse sequences by Abraham, Kweku, Castillo, Ismael, Roquain, Etienne

“…This work investigates multiple testing by considering minimax separation rates in the sparse sequence model, when the testing risk is measured as the sum…”
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Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences by Abraham, Kweku, Castillo, Ismael, Roquain, Etienne

“…In the sparse sequence model, we consider a popular Bayesian multiple testing procedure and investigate for the first time its behaviour from the frequentist…”
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Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach by Abraham, Kweku, Castillo, Ismael, Gassiat, Elisabeth

“…Given a nonparametric Hidden Markov Model (HMM) with two states, the question of constructing efficient multiple testing procedures is considered, treating one…”
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