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05/10/2023
Penalized deep neural networks estimator with general loss functions under weak dependence
This paper carries out sparse-penalized deep neural networks predictors ...
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03/02/2023
Sparse-penalized deep neural networks estimator under weak dependence
We consider the nonparametric regression and the classification problems...
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02/15/2023
Excess risk bound for deep learning under weak dependence
This paper considers deep neural networks for learning weakly dependent ...
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02/01/2023
Deep learning for ψ-weakly dependent processes
In this paper, we perform deep neural networks for learning ψ-weakly dep...
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09/30/2022
Statistical learning for ψ-weakly dependent processes
We consider statistical learning question for ψ-weakly dependent process...
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01/31/2022
Some asymptotic results for time series model selection
We consider the model selection problem for a large class of time series...
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10/19/2021
Efficient and Consistent Data-Driven Model Selection for Time Series
This paper studies the model selection problem in a large class of causa...
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05/28/2021
Epidemic change-point detection in general causal time series
We consider an epidemic change-point detection in a large class of causa...
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04/28/2021
A general procedure for change-point detection in multivariate time series
We consider the change-point detection in multivariate continuous and in...
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03/24/2021
Epidemic change-point detection in general integer-valued time series
In this paper, we consider the structural change in a class of discrete ...
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02/04/2021
Inference and model selection in general causal time series with exogenous covariates
In this paper, we study a general class of causal processes with exogeno...
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08/20/2020
Strong consistent model selection for general causal time series
We consider the strongly consistent question for model selection in a la...
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07/27/2020
Poisson QMLE for change-point detection in general integer-valued time series models
We consider together the retrospective and the sequential change-point d...
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06/22/2020
Density power divergence for general integer-valued time series with multivariate exogenous covariate
In this article, we study a robust estimation method for a general class...
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05/02/2020
Inference for nonstationary time series of counts with application to change-point problems
We consider an integer-valued time series Y=(Y_t)_t∈ where the models af...
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02/20/2020
Consistent model selection procedure for general integer-valued time series
This paper deals with the problem of model selection for a general class...
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11/03/2019
Piecewise autoregression for general integer-valued time series
This paper proposes a piecewise autoregression for general integer-value...
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07/23/2019
