Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint. [PDF]
Sci Rep, 2023 Liu W, Zhang L, He L, Liu H.
europepmc +1 more source
"Empirical Likelihood-Based Inference in Conditional Moment Restriction Models" [PDF]
This paper proposes an asymptotically efficient method for estimating models with conditional moment restrictions. Our estimator generalizes the maximum empirical likelihood estimator (MELE) of Qin and Lawless (1994).
Hyungtaik Ahn +2 more
core
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
A maximum-likelihood method to estimate haplotype frequencies and prevalence alongside multiplicity of infection from SNP data. [PDF]
Front Epidemiol, 2022 Tsoungui Obama HCJ, Schneider KA.
europepmc +1 more source
A Robust and Efficient Face Recognition System based on Luminance Distribution using Maximum Likelihood [PDF]
, 2013 In this paper, a robust and efficient face recognition system based on luminance distribution by using maximum likelihood estimation is proposed. The distribution of luminance components of the face region is acquired and applied to maximum likelihood ...
heish@ee.tku.edu.tw +1 more
core
Globally optimal parameter estimates for nonlinear diffusions [PDF]
, 2010 This paper studies an approximation method for the log-likelihood function of a nonlinear diffusion process using the bridge of the diffusion. The main result (Theorem 1) shows that this approximation converges uniformly to the unknown likelihood ...
Mijatović, Aleksandar +3 more
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Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. [PDF]
G3 (Bethesda), 2022 Malik MA, Michoel T.
europepmc +1 more source
A Maximum Likelihood Approach to Estimation of Heath-Jarrow-Morton Models [PDF]
Research on the Heath-Jarrow-Morton (1992) term structure models so far has focused on the class having time-deterministic instantaneous forward rate volatility. In this case the forward rate is Markovian, even if the spot rate process is not.
Ram Bhar, Carl Chiarella, Thuy Duong To
core
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source