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20072020
most citedCovariance function of vector self-similar process

51 citations · 141 across the 20 of their papers we have counts for

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18 papers · 1 filter

math.ST2019

Inference for continuous-time long memory randomly sampled processes

Mohamedou Ould Haye, Anne Philippe, Caroline Robet

From a continuous-time long memory stochastic process, a discrete-time randomly sampled one is drawn. We investigate the second-order properties of this process and establish some…

math.ST2019

Shadow Simulated Annealing algorithm: a new tool for global optimisation and statistical inference

R. Stoica, Madalina Deaconu, Anne Philippe +1

This paper develops a new global optimisation method that applies to a family of criteria that are not entirely known. This family includes the criteria obtained from the class of…

math.ST2018

Sample covariances of random-coefficient AR(1) panel model

Remigijus Leipus, Anne Philippe, Vytaute Pilipauskaite +1

The present paper obtains a complete description of the limit distributions of sample covariances in N x n panel data when N and n jointly increase, possibly at different rate. The…

math.ST2017★ 1 cited

Estimating long memory in panel random-coefficient AR(1) data

Remigijus Leipus, Anne Philippe, Vytaute Pilipauskaite +1

It is well-known that random-coefficient AR(1) process can have long memory depending on the index of the tail distribution function of the random coefficient, if it is a regul…

math.ST2015★ 5 cited

Nonparametric estimation of the distribution of the autoregressive coefficient from panel random-coefficient AR(1) data

Remigijus Leipus, Anne Philippe, Vytautė Pilipauskaitė +1

We discuss nonparametric estimation of the distribution function of the autoregressive coefficient from a panel of random-coefficient AR(1) data, each of…

math.ST2015

ABC Shadow algorithm: a tool for statistical analysis of spatial patterns

R. S. Stoica, A. Philippe, P. Gregori +1

This paper presents an original ABC algorithm, "ABC Shadow", that can be applied to sample posterior densities that are continuously differentiable. The proposed method uses the id…