28 citations · 123 across the 39 of their papers we have counts for
6 papers · 1 filter
Tracking and classifying objects with DAS data along railway
Simon L. B. Fredriksen, The Tien Mai, Kevin Growe +1
Distributed acoustic sensing through fiber-optical cables can contribute to traffic monitoring systems. Using data from a day of field testing on a 50 km long fiber-optic cable alo…
A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data
Karen S Auestad, The Tien Mai, Mina Spremic +1
Stochastic reservoir characterization, a critical aspect of subsurface exploration for oil and gas reservoirs, relies on stochastic methods to model and understand subsurface prope…
Understanding the population structure correction regression
The Tien Mai, Pierre Alquier
Although genome-wide association studies (GWAS) on complex traits have achieved great successes, the current leading GWAS approaches simply perform to test each genotype-phenotype…
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography
The Tien Mai
We revisit the Pseudo-Bayesian approach to the problem of estimating density matrix in quantum state tomography in this paper. Pseudo-Bayesian inference has been shown to offer a p…
Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting
The Tien Mai, Paul Turner, Jukka Corander
Background: Heritability is a central measure in genetics quantifying how much of the variability observed in a trait is attributable to genetic differences. Existing methods for e…
Composite local low-rank structure in learning drug sensitivity
The Tien Mai, Leiv Rønneberg, Zhi Zhao +2
The molecular characterization of tumor samples by multiple omics data sets of different types or modalities (e.g. gene expression, mutation, CpG methylation) has become an invalua…