quasi-newton algorithm fminunc (MathWorks Inc)
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quasi-newton algorithm fminunc
Quasi Newton Algorithm Fminunc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/quasi-newton+algorithm+fminunc/pm40653987-106-15-17
Average 90 stars, based on 1 article reviews
Quasi Newton Algorithm Fminunc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/quasi-newton+algorithm+fminunc/pm40653987-106-15-17
Average 90 stars, based on 1 article reviews
quasi-newton algorithm fminunc - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: A new and unified method for regression analysis of interval-censored failure time data under semiparametric transformation models with missing covariates. Article Snippet: Correspondence Mingyue Du, School of Mathematics, Jilin University, Changchun, China.. Email: mingydu@jlu.edu.cn This paper discusses regression analysis of interval-censored failure time data arising from semiparametric transformation models in the presence of missing covariates.. Although some methods have been developed for the problem, they either apply only to limited situations or may have some computational issues. Article Title: Semiparametric regression analysis of interval-censored failure time data with a cure subgroup and nonignorable missing covariates. Article Snippet: This article discusses regression analysis of interval-censored failure time data in the presence of a cure fraction and nonignorable missing covariates.. To address the challenges caused by interval censoring, missing covariates and the existence of a cure subgroup, we propose a joint semiparametric modeling framework that simultaneously models the failure time of interest and the missing covariates.. In particular, we present a class of semiparametric nonmixture cure models for the failure time and a semiparametric density ratio model for the missing covariates. Article Title: Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies Article Snippet: Article Title: Technical Note: The nearest neighborhood-based approach for estimating basis line-integrals using photon-counting detector. Article Snippet: Purpose: This study aims to develop a calibration-based estimator for the photon-counting detector (PCD)-based x-ray computed tomography.. Methods: We propose the nearest neighborhood (NN)-based estimator, which searches for the nearest calibration data for a given PCD output and sets the associated basis line-integrals as the estimate.. Searching for the nearest neighbors can be accelerated using the pre-calculated k-d tree for the data. Article Title: Prediction of baking results from farinograph measurements by using stepwise linear regression and artificial neuronal networks Article Snippet: In an effort to extract additional data from farinograph experiments a model was developed to simulate the measurements and correlate the parameters of the model with results from baking tests.. This additional information can be used in bakeries to predict the baking properties of the flours and adjust the recipes to maintain a constant product quality.. For this eight different flours were characterized with a farinograph and 13 different results from baking experiments. Article Title: Semiparametric Inference for a Two-stage Outcome-dependent Sampling Design with Interval-censored Failure Time Data Article Snippet: The Quasi-Newton algorithm built in |