Results 21 to 30 of about 620,264 (256)
Maximum Likelihood Cluster Reconstruction [PDF]
The Astrophysical Journal, 1996 9 pages including 2 figures, submitted to ApJ ...
Bartelmann, Matthias +3 more
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A new maximum-likelihood method for template fits
European Physical Journal C: Particles and Fields, 2022 A common statistical problem in particle physics is to extract the number of samples which originate from a statistical process in an ensemble containing a mix of several contributing processes. The probability density function of each process is usually
Hans Dembinski, Ahmed Abdelmotteleb
doaj +1 more source
The maximum likelihood degree [PDF]
American Journal of Mathematics, 2006 Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers of polynomials. We study the algebraic degree of the critical equations of this optimization problem. This degree is related to the number of bounded regions in the corresponding arrangement of hypersurfaces, and to the Euler characteristic of the ...
Catanese, Fabrizio +3 more
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Privacy-preserving Maximum Likelihood Estimation for Distributed Data
The Journal of Privacy and Confidentiality, 2010 Recent technological advances enable the collection of huge amounts of data. Commonly, these data are generated, stored, and owned by multiple entities that are unwilling to cede control of their data. This distributed environment requires statistical
Xiaodong Lin, Alan F. Karr
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Parameter uncertainties in weighted unbinned maximum likelihood fits
European Physical Journal C: Particles and Fields, 2022 Parameter estimation via unbinned maximum likelihood fits is central for many analyses performed in high energy physics. Unbinned maximum likelihood fits using event weights, for example to statistically subtract background contributions via the sPlot ...
Christoph Langenbruch
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Maximum Likelihood Estimation for the Fractional Vasicek Model
Econometrics, 2020 This paper estimates the drift parameters in the fractional Vasicek model from a continuous record of observations via maximum likelihood (ML). The asymptotic theory for the ML estimates (MLE) is established in the stationary case, the explosive case ...
Katsuto Tanaka, Weilin Xiao, Jun Yu
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Maximum Likelihood Estimation of Stochastic Fractional Singular Models
IEEE Access, 2021 Using the non-causal nature of a fractional-order singular (FOS) model, this paper deals with the modification of an estimation algorithm developed by Nosrati and Shafiee, and demonstrates how the derived estimation procedure can be adjusted by ...
Komeil Nosrati +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Maximum Likelihood Estimation for Mixed Fractional Vasicek Processes
Fractal and Fractional, 2022 In this paper, we consider the problem of estimating the drift parameters in the mixed fractional Vasicek model, which is an extended model of the traditional Vasicek model.
Chun-Hao Cai +3 more
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FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source