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A common challenge in estimating parameters of probability density functions is the intractability of the normalizing constant.
The moment generating function of the truncated multi-normal distribution
G. M. Tallis · 1961
Earlier work this paper cites.
Criteria for copositive matrices
Hannu Väliaho · 1986
Earlier work this paper cites.
A variational method for estimating the parameters of MRF from complete or incomplete data
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Earlier work this paper cites.
Graphical Models , volume 17 of Oxford Statistical Science Series
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Earlier work this paper cites.
Metric Characterization of Random Variables and Random Processes , volume 188 of Translations of Mathematical Monographs
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Earlier work this paper cites.
Variable selection via nonconcave penalized likelihood and its oracle properties
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Earlier work this paper cites.
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Earlier work this paper cites.
Gene expression signature of benign prostatic hyperplasia revealed by cDNA microarray analysis
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Mathias Drton and Michael D. Perlman · 2004
Earlier work this paper cites.
Evidence for dynamically organized modularity in the yeast protein–protein interaction network
Jing-Dong J. Han, Nicolas Bertin, Tong Hao, Debra S. Goldberg, Gabriel F. Berriz, Lan V. Zhang, Denis Dupuy, Albertha JM. Walhout, Michael E. Cusick, Frederick P. Roth, et al · 2004
Earlier work this paper cites.
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Earlier work this paper cites.
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Aapo Hyvärinen · 2005
Earlier work this paper cites.
Matrix metalloproteinases as diagnostic (MMP-13) and prognostic (MMP-2, MMP-9) markers of prostate cancer
Giuseppe Morgia, Mario Falsaperla, Grazia Malaponte, Massimo Madonia, Manuela Indelicato, Salvatore Travali, and Maria Clorinda Mazzarino · 2005
Earlier work this paper cites.
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Earlier work this paper cites.
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Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, and Ryan J. Tibshirani · 2012
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A panel of DNA methylation markers reveals extensive methylation in histologically benign prostate biopsy cores from cancer patients
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GLI2 knockdown using an antisense oligonucleotide induces apoptosis and chemosensitizes cells to paclitaxel in androgen-independent prostate cancer
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The nonparanormal: semiparametric estimation of high dimensional undirected graphs
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