Results 41 to 50 of about 4,588,040 (299)
stochprofML: stochastic profiling using maximum likelihood estimation in R
BMC Bioinformatics, 2021 Background Tissues are often heterogeneous in their single-cell molecular expression, and this can govern the regulation of cell fate. For the understanding of development and disease, it is important to quantify heterogeneity in a given tissue.
Lisa Amrhein, Christiane Fuchs
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Nonparametric Sieve Maximum Likelihood Estimation of Semi-Competing Risks Data
Mathematics, 2022 In biomedical studies involving time-to-event data, a subject may experience distinct types of events. We consider the problem of estimating the transition functions for a semi-competing risks model under illness-death model framework.
Xifen Huang, Jinfeng Xu
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Disjoint Tree Mergers for Large-Scale Maximum Likelihood Tree Estimation
Algorithms, 2021 The estimation of phylogenetic trees for individual genes or multi-locus datasets is a basic part of considerable biological research. In order to enable large trees to be computed, Disjoint Tree Mergers (DTMs) have been developed; these methods operate ...
Minhyuk Park +2 more
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Maximum likelihood estimation for semiparametric transformation models with interval-censored data [PDF]
Biometrika, 2016 Interval censoring arises frequently in clinical, epidemiological, financial and sociological studies, where the event or failure of interest is known only to occur within an interval induced by periodic monitoring.
D. Zeng, L. Mao, Dan-Yu Lin
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High-Order Maximum Likelihood Methods for Direction of Arrival Estimation
IEEE Open Journal of Signal Processing, 2021 It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direction Of Arrival (DOA) estimation methods. Particularly, the high-order MUltiple SIgnal Classification (MUSIC) method, also known as $ 2q$-MUSIC method ...
Mohammadhossein Barat +2 more
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Estimation of servo-system parameters using maximum likelihood method
Vojnotehnički Glasnik, 1998 The problem of estimation of servo system parameters that cannot be measured is solved. Unknown parameters are estimated using system response measurements. A special discrete, recursive and iterative form of maximum likelihood method is presented.
Nenad Dodić
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Maximum‐likelihood estimation of the geometric niche preemption model
Ecosphere, 2021 The geometric series or niche preemption model is an elementary ecological model in biodiversity studies. The preemption parameter of this model is usually estimated by regression or iteratively by using May's equation.
Jan Graffelman
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Maximum Likelihood Estimation for the Weibull-Burr Distribution
Proceedings of the International Conference on Applied Innovations in ITThis study introduces a new family of distributions known as the five-parameters Weibull- Burr distribution. This study aims to present a new family of Weibull-Burr distributions by utilizing the maximum likelihood estimation (MLE) method to determine ...
Alaa Mohammad, Abbas Kneehr
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
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Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
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