Noncoherent Maximum Likelihood Detection for Differential Spatial Multiplexing MIMO Systems [PDF]
, 2010 In this paper, we propose a novel noncoherent maximum likelihood detection (NMLD) method for differential spatial multiplexing (SM) multiple-input multiple-output (MIMO) systems.
Handa, Shiro +4 more
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FEBS Letters, EarlyView.Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
wiley +1 more source
An Optimized-Hierarchy-Aided Maximum Likelihood Detector for MIMO-OFDM
, 2006 In this paper we propose a novel low-complexity Maximum Likelihood (ML) space-time detection method, which can be regarded as an advanced extension of the Complex Sphere Decoder (CSD).
Akhtman, J., Hanzo, L.
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Comparing Parameter Estimation of Random Coefficient Autoregressive Model by Frequentist Method
Mathematics, 2020 This paper compares the frequentist method that consisted of the least-squares method and the maximum likelihood method for estimating an unknown parameter on the Random Coefficient Autoregressive (RCA) model.
Autcha Araveeporn
doaj +1 more source
Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation [PDF]
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen ...
Lorenzo Cappellari, Stephen P. Jenkins
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Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
FEBS Letters, EarlyView.Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
Estimating the Transitional Probabilities of the E.Coli Gene Chain by Maximum Likelihood Method and Bayes Method [PDF]
المجلة العراقية للعلوم الاحصائيةThe transition matrix estimators of the Markov chain are not accurate and the transition matrix is considered given. There are many methods that are used to estimate the transition probabilities matrix for different cases, the most famous of which is the
Alaa Farhan Ahmed, Muthanna Sulaiman
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Likelihood inference for small variance components
, 2000 In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
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A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints [PDF]
This paper discusses issues on the estimation of consumer demand equations subject to binding non-negative constraints. We propose computationally feasible specifications and a simulated maximum likelihood (SML) method for demand systems. Our study shows
Lung-fei Lee, Chihwa Kao, Mark M. Pitt
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