Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
Detecting simultaneous changepoints in multiple sequences
We discuss the detection of local signals that occur at the same location in multiple one-
dimensional noisy sequences, with particular attention to relatively weak signals that may …
dimensional noisy sequences, with particular attention to relatively weak signals that may …
Integrating copy number polymorphisms into array CGH analysis using a robust HMM
SP Shah, X Xuan, RJ DeLeeuw, M Khojasteh… - …, 2006 - academic.oup.com
Motivation: Array comparative genomic hybridization (aCGH) is a pervasive technique used
to identify chromosomal aberrations in human diseases, including cancer. Aberrations are …
to identify chromosomal aberrations in human diseases, including cancer. Aberrations are …
Bayesian non-parametric hidden Markov models with applications in genomics
We propose a flexible non-parametric specification of the emission distribution in hidden
Markov models and we introduce a novel methodology for carrying out the computations …
Markov models and we introduce a novel methodology for carrying out the computations …
Parent-specific copy number in paired tumor–normal studies using circular binary segmentation
AB Olshen, H Bengtsson, P Neuvial… - …, 2011 - academic.oup.com
Motivation: High-throughput techniques facilitate the simultaneous measurement of DNA
copy number at hundreds of thousands of sites on a genome. Older techniques allow …
copy number at hundreds of thousands of sites on a genome. Older techniques allow …
A sequential approach to market state modeling and analysis in online p2p lending
Online peer-to-peer (P2P) lending is an emerging wealth-management service for
individuals, which allows lenders to directly bid and invest on the listings created by …
individuals, which allows lenders to directly bid and invest on the listings created by …
Recruitment market trend analysis with sequential latent variable models
Recruitment market analysis provides valuable understanding of industry-specific economic
growth and plays an important role for both employers and job seekers. With the rapid …
growth and plays an important role for both employers and job seekers. With the rapid …
Time-dependence of graph theory metrics in functional connectivity analysis
Brain graphs provide a useful way to computationally model the network structure of the
connectome, and this has led to increasing interest in the use of graph theory to quantitate …
connectome, and this has led to increasing interest in the use of graph theory to quantitate …
Bayesian hierarchical structured variable selection methods with application to molecular inversion probe studies in breast cancer
L Zhang, V Baladandayuthapani… - Journal of the Royal …, 2014 - academic.oup.com
The analysis of genomics alterations that may occur in nature when segments of
chromosomes are copied (known as copy number alterations) has been a focus of research …
chromosomes are copied (known as copy number alterations) has been a focus of research …
Epilepsy as a dynamic disease: A Bayesian model for differentiating seizure risk from natural variability
Objective A fundamental challenge in treating epilepsy is that changes in observed seizure
frequencies do not necessarily reflect changes in underlying seizure risk. Rather, changes in …
frequencies do not necessarily reflect changes in underlying seizure risk. Rather, changes in …