Rasool Tahmasbi

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Matthew C KellerDirector, Institute for Behavioral Genetics, CU BoulderVerified email at colorado.edu
Peter VisscherProfessor of Quantitative Genetics, University of QueenslandVerified email at uq.edu.au
Michael GoddardUniversity of MelbourneVerified email at unimelb.edu.au
Luke M EvansAssistant Professor, IBG and EBIO, University of ColoradoVerified email at colorado.edu
Saralees NadarajahDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
Scott VriezeUniversity of MinnesotaVerified email at umn.edu
Goncalo AbecasisUniversity of Michigan School of Public HealthVerified email at umich.edu
Sayantan Das23andMeVerified email at 23andme.com
DW BjellandPEAK GeneticsVerified email at urus.org
Jian YangProfessor of Statistical Genetics, Westlake UniversityVerified email at westlake.edu.cn
Benjamin NealeMassachusetts General Hospital; Broad Institute; Harvard Medical SchoolVerified email at broadinstitute.org
Gazal StevenUniversity of Southern CaliforniaVerified email at usc.edu
manijeh mahmoodiUniversity of Science and CultureVerified email at usc.ac.ir
matt jonespsychology and neuroscience, university of coloradoVerified email at colorado.edu
S. Mehdi HashemiProfessor of Mathematics and Computer Science, Amirkabir University of TechnologyVerified email at aut.ac.ir
Claudionor CoelhoZscalerVerified email at alumni.stanford.edu
Nandini RamananPalo Alto NetworksVerified email at paloaltonetworks.com
Charanraj ThimmisettyPalo Alto NetworksVerified email at paloaltonetworks.com
Mehrnaz Amjadi, Ph.D.NVIDIA AIVerified email at uic.edu
Jake TaylorUniversity of OxfordVerified email at physics.ox.ac.uk

Rasool Tahmasbi

Harvard University

Verified email at mgh.harvard.edu

Artificial Intelligence Data science Statistical Genetics Stochastic process Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A generalized Lindley distribution S Nadarajah, HS Bakouch, R Tahmasbi Sankhya B 73, 331-359, 2011	364	2011
Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits. L Evans, R Tahmasbi, S Vrieze, G Abecasis, S Das, D Bjelland, ... Nature Genetics 50, 737-745, 2018	262	2018
A two-parameter lifetime distribution with decreasing failure rate R Tahmasbi, S Rezaei Computational Statistics & Data Analysis 52 (8), 3889-3901, 2008	246	2008
Estimation of P [Y< X] for generalized Pareto distribution S Rezaei, R Tahmasbi, M Mahmoodi Journal of Statistical Planning and Inference 140 (2), 480-494, 2010	192	2010
A soft voice activity detection using GARCH filter and variance gamma distribution R Tahmasbi, S Rezaei IEEE Transactions on Audio, Speech, and Language Processing 15 (4), 1129-1134, 2007	56	2007
Change point detection in GARCH models for voice activity detection R Tahmasbi, S Rezaei IEEE transactions on audio, speech, and language processing 16 (5), 1038-1046, 2008	42	2008
Modeling and Forecasting the Urban Volume Using Stochastic Differential Equations R Tahmasbi, SM Hashemi Intelligent Transportation Systems, IEEE Transactions on 15 (1), 250-259, 2014	37	2014
Narrow-sense heritability estimation of complex traits using identity-by-descent information LM Evans, R Tahmasbi, M Jones, SI Vrieze, GR Abecasis, S Das, ... Heredity 121 (6), 616-630, 2018	36	2018
Boosted Embeddings for Time Series Forecasting SR Karingula, N Ramanan, R Tahmasbi, M Amjadi, D Jung, R Si, ... arXiv preprint arXiv:2104.04781, 2021	17	2021
GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data R Tahmasbi, MC Keller Bioinformatics 33 (2), 294-296, 2016	14	2016
A new lifetime distribution with increasing failure rate: Exponential truncated Poisson S Rezaei, R Tahmasbi Journal of Basic and Applied Scientific Research 2 (2), 1749-1762, 2012	14	2012
Multiomics screening identifies molecular biomarkers causally associated with the risk of coronary artery disease M Nikpay, S Soubeyrand, R Tahmasbi, R McPherson Circulation: Genomic and Precision Medicine 13 (6), e002876, 2020	12	2020
Haplotype Reference Consortium Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits LM Evans, R Tahmasbi, SI Vrieze, GR Abecasis, S Das, S Gazal, ... Nat Genet 50 (5), 737-745, 2018	12	2018
A generalized Lindley distribution, Sankhya B, 73, 331-359 S Nadarajah, HS Bakouch, R Tahmasbi	11	2011
The value of information in stochastic maximum flow problems R Tahmasbi, E Nasrabadi, SM Hashemi Computers & operations research 40 (7), 1744-1751, 2013	9	2013
Recent advances in robust speech recognition technology J Ramirez Bentham Science, 2011	7	2011
Real-time drift detection on time-series data N Ramanan, R Tahmasbi, M Sayer, D Jung, S Hemachandran, ... arXiv preprint arXiv:2110.06383, 2021	3	2021
Effects of assortative mating on estimates of snp heritability M Keller, T de Candia, M Jones, R Tahmasbi, L Evans, D Evans, L Eaves, ... European Neuropsychopharmacology 29, S788-S789, 2019	3	2019
Testing the moderation of quantitative gene by environment interactions in unrelated individuals R Tahmasbi, LM Evans, E Turkheimer, MC Keller bioRxiv, 191080, 2017	2	2017
Biases in genetic variance estimates induced by assortative mating T de Candia, R Tahmasbi, G Carey, L Eaves, M Jones, D Evans, M Keller BEHAVIOR GENETICS 45 (6), 652-652, 2015	1	2015

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