Main field of research
Mathematical and Applied Statistics,
Statistical problems in the Environmental Sciences

Theory and methods

nonparametric curve estimation for dependent data

empirical moment generating function, empirical characteristic function (Fourier & Laplace transform based methods)

graphical goodness-of-fit tests

long-memory

unevenly spaced time series data

Gaussian subordination models

others: multivariate statistical methods, ratio of means estimation, statistical applications of large deviations

nonstandard statistical problems in the environmental sciences


Applications

statistical issues in large scale environmental monitoring

analysis of massive space-time data sets

modeling & estimation under rapid and abrupt climate change, regime change, multivariate dependence

analysis of palaeo-environmental time series data, age-depth modeling

spatial variations in plant species populations

modeling species-area relations & background processes

statistical inference of extremes, quantiles, risk