Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems
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]
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
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
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]
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]
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
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
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]
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
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

