Yohann De Castro
- Spike detection from inaccurate samplings
2013/01/24 by Jean‐Marc Azäis, Jean-Marc Azaïs, Jean-Marc Azais +6 · 25 citations
Computer Science · Engineering · Mathematics · #Image and Signal Denoising Methods #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #math.ST #stat.TH
- Estimating the transition matrix of a Markov chain observed at random times
2014/05/02 by Flavia Barsotti, Yohann De Castro, Barsotti, Flavia +5 · 1 citation
Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST) #math.ST #stat.ME #stat.TH
- Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
2015/07/23 by Yohann de Castro, Yohann De Castro, De Castro, Yohann +5 · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Mathematics #Statistics Theory (math.ST) #Target Tracking and Data Fusion in Sensor Networks #math.ST #stat.TH
- Minimax adaptive estimation of nonparametric hidden Markov models
2015/01/20 by Yohann de Castro, Yohann De Castro, De Castro, Yohann +4 · 2 citations
Computer Science · Mathematics · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Mathematics #Statistical Methods and Inference #Statistics Theory (math.ST) #math.ST #stat.TH
- Adapting to unknown noise level in sparse deconvolution
2016/06/15 by Claire Boyer, Yohann de Castro, Boyer, Claire +4 · 1 citation
Computer Science · Engineering · Mathematics · #Advanced Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST) #cs.IT #math.IT #math.OC #math.ST #stat.TH