Seminar

Generalized R-squared for Detecting Non-independence

Too Many Data and Too Few Parameters: Mapping and Analysing the Whole Universe, A Challenge in Computational Science

Big Data, Geospatial Computing, and My 2 Cents in an Open Data Economy(also part of Harvard GIS Colloquium series)

How Machine Learning Helps Count Casualties in Syria

Efficient Simulation of Risk and its Error: Confidence Intervals for Quantiles When Using Variance-Reduction Techniques

TBA

Title: Estimation of the Derivatives of Functions that Can Only be Evaluated with Noise Abstract: Iterated Filtering methods have recently been introduced to perform maximum likelihood parameter estimation in state-space models, and they only require...

Asymptotic Normality and Efficiency In Estimation of High-dimensional Graphical Models

(cancelled)

Limit theorems for weighted non-linear transformations of Gaussian processes with singular spectrum