Results 101 to 110 of about 4,588,040 (299)

Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems

open access: yesEURASIP Journal on Advances in Signal Processing, 2002
Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems. In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication ...
Hakan A. Çırpan   +2 more
doaj   +1 more source

Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]

open access: yes
In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
core  

Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy

open access: yesMolecular Oncology, EarlyView.
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley   +1 more source

Targeted maximum likelihood based estimation for longitudinal mediation analysis

open access: yesJournal of Causal Inference
Causal mediation analysis with random interventions has become an area of significant interest for understanding time-varying effects with longitudinal and survival outcomes.
Wang Zeyi   +5 more
doaj   +1 more source

Comparing maximum likelihood and maximum pseudolikelihood estimators for the Ising model [PDF]

open access: yesadvances.in/psychology
The Ising model is one of the most popular models in network psychometrics. However, statistical analysis of the Ising model is difficult due to the presence of its intractable normalizing constant in the probability function.
Sara Keetelaar   +3 more
doaj   +1 more source

Analytical quasi maximum likelihood inference in multivariate volatility models [PDF]

open access: yes
Quasi maximum likelihood estimation and inference in multivariate volatility models remains a challenging computational task if, for example, the dimension is high.
Hafner, C.M., Herwartz, H.
core  

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

open access: yesMolecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau   +9 more
wiley   +1 more source

Variable bandwidth local maximum likelihood type estimation for diffusion processes

open access: yesAdvances in Difference Equations, 2018
The method of robust approach is applied to estimate drift function and diffusion function of diffusion processes with discrete-time observations. The proposed method combines the ideas of local linear regression technique and maximum likelihood type ...
Ming T. Tang, Yun Y. Wang
doaj   +1 more source

Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance [PDF]

open access: yes
This paper overviews maximum likelihood and Gaussian methods of estimating continuous time models used in finance. Since the exact likelihood can be constructed only in special cases, much attention has been devoted to the development of methods designed
Jun Yu, Peter C. B. Phillips
core  

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

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