A primal dual method for inverse problems in MRI with non-linear forward operators

Applications of Change-Points Methods in Brain Signal and Image Analysis

Wavelet-based Bayesian Estimation of Long Memory Models - an Application to fMRI Data

Detecting copy number variants for rare genetic disorders and non-invasive pre-natal diagnosis

Methods for detecting graph based change points for fMRI and financial data

Exact Bayesian inference for change point models with application to genomics

Detection of Genomic Signals by Resequencing

Theory and Inference for a Class of Nonlinear Models with Application to Time Series of Counts.

Modeling spatial nonstationarity and inference for exceedances in environmental applications.

Incorporating Geostrophic Wind Information for Improved Space-Time Short-Term Wind Speed Forecasting and Power System Dispatch.

Graph-Based Change-Point Detection

Fourier based statistics for irregular spaced spatial data: with an application to testing for spatial stationarity.

Robust monitoring of CAPM portfolios beta

Measuring dependence with local Gaussian correlation: Theory and applications.

Statistical Inference for Panel Data

The Volatility of International Migration Flows: Estimating Past Trends in Nordic Countries and Lessons for Forecasting with Uncertainty.

Characterizing, predicting and handling rapid and large changes of wind power production.

Precision of Disorders Detection

An Automated Statistician which learns Bayesian nonparametric models of time series data

The group fused Lasso for multiple change-point detection