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Robust adaptive efficient estimation for semi-Markov nonparametric regression models JOURNAL ARTICLE published July 2019 in Statistical Inference for Stochastic Processes |
Nonparametric Regression Estimation for Random Fields in a Fixed-Design JOURNAL ARTICLE published January 2007 in Statistical Inference for Stochastic Processes |
A Note on the Strong Approximation of the Smoothed Empirical Process of α-mixing Sequences JOURNAL ARTICLE published May 2006 in Statistical Inference for Stochastic Processes |
A functional central limit theorem on non-stationary random fields with nested spatial structure JOURNAL ARTICLE published April 2023 in Statistical Inference for Stochastic Processes |
Statistical inference for SPDEs: an overview JOURNAL ARTICLE published July 2018 in Statistical Inference for Stochastic Processes |
Stein estimation of Poisson process intensities JOURNAL ARTICLE published February 2009 in Statistical Inference for Stochastic Processes |
Cox process functional learning JOURNAL ARTICLE published October 2015 in Statistical Inference for Stochastic Processes |
Sparse estimation for generalized exponential marked Hawkes process JOURNAL ARTICLE published April 2023 in Statistical Inference for Stochastic Processes |
Non-uniform spacings processes JOURNAL ARTICLE published May 2011 in Statistical Inference for Stochastic Processes |
Periodic autoregressive stochastic volatility JOURNAL ARTICLE published July 2017 in Statistical Inference for Stochastic Processes |
Statistical inference for quantiles in the frequency domain JOURNAL ARTICLE published October 2017 in Statistical Inference for Stochastic Processes Research funded by Japan Society for the Promotion of Science (17K12652) |
Nonparametric Gaussian inference for stable processes JOURNAL ARTICLE published October 2019 in Statistical Inference for Stochastic Processes |
On inference for fractional differential equations JOURNAL ARTICLE published April 2013 in Statistical Inference for Stochastic Processes |
On minimax cardinal spline interpolation JOURNAL ARTICLE published April 2022 in Statistical Inference for Stochastic Processes |
Local linear estimation for stochastic processes driven by $$alpha $$ α -stable L $$acute{mathbf{e}}$$ e ´ vy motion JOURNAL ARTICLE published July 2013 in Statistical Inference for Stochastic Processes |
Efficient parametric estimation for a signal-plus-noise Gaussian model from discrete time observations JOURNAL ARTICLE published April 2021 in Statistical Inference for Stochastic Processes |
Inference in generalized exponential O–U processes JOURNAL ARTICLE published October 2023 in Statistical Inference for Stochastic Processes Research funded by Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-04464) |
On Neyman–Pearson minimax detection of Poisson process intensity JOURNAL ARTICLE published April 2021 in Statistical Inference for Stochastic Processes Research funded by Russian Foundation for Fundamental Investigations (19-01-00364) |
Inference in a multivariate generalized mean-reverting process with a change-point JOURNAL ARTICLE published April 2020 in Statistical Inference for Stochastic Processes |
Parametric inference for discretely observed subordinate diffusions JOURNAL ARTICLE published April 2019 in Statistical Inference for Stochastic Processes Research funded by University Research Committee, University of Hong Kong (Research Grant Council GRF Grant No. 14205816) |