Results 71 to 80 of about 4,503,165 (306)
Estimation for the bivariate negative binomial distribution
Journal of Statistical Computation and Simulation, 1985 Subrahmaniam and Subrahmaniam (1973) have considered several estimation procedures for the parameters of the bivariate negative binomial distribution. In this paper even-point estimators are examined and relative comparisons with maximum likelihood, moment and zero-zero cell frequency estimators are given.
Loukas, S., Papageorgiou, H.
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Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Advanced Science, EarlyView.Using single‐cell transcriptomic and epigenomic profiling, researchers mapped microglial dysfunction across the lifespan of db/db mice. The authors uncovered a nonlinear microglial remodeling featuring early inflammatory priming, a mid‐stage transcriptional inflection, and late dysfunction.
Jizhou Zhang +6 more
wiley +1 more source
Weighted inequalities and negative binomials
Advances in Applied Mathematics, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Advanced Science, EarlyView.Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
Bounds on Negative Binomial Approximation to Call Function
Revstat Statistical JournalIn this paper, we develop Stein's method for negative binomial distribution using call function defined by fz(k) = (k - z)+ = max{k - z, 0}, for k ≥ 0 and z ≥ 0.
Amit N. Kumar
doaj +1 more source
Generalized Binomial Trees [PDF]
We consider the problem of consistently pricing new options given the prices of related options on the same stock. The Black-Scholes formula and standard binomial trees can only accommodate one related European option which then effectively specifies the
Jackwerth, Jens Carsten
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Hurdle Negative Binomial model estimation results.
, 2016 Hurdle Negative Binomial model estimation results.
Tesfaye Alemayehu Gebremedhin (3394610) +1 more
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DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Advanced Science, EarlyView.Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Constructing Arbitrage-free Binomial Models [PDF]
, 2004 Wöster C. Constructing Arbitrage-free Binomial Models. Discussion paper / Fakultät für Wirtschaftswissenschaften, Universität Bielefeld. Bielefeld: Universität Bielefeld; 2004.In the past decades several versions of the binomial model for option pricing,
Wöster, Christoph
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