Results 31 to 40 of about 3,051,269 (303)
Maximum-likelihood estimation of the Po-MDDRCINAR(p) model with analysis of a COVID-19 data
Statistical Theory and Related FieldsInteger-valued data are frequently encountered in time series studies. A pth-order mixed dependence-driven random coefficient integer-valued autoregressive time series model (Po-MDDRCINAR(p)) in view of binomial and negative binomial operators, where the
Xiufang Liu +3 more
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A Partial Condition Number for Linear Least Squares Problems [PDF]
SIAM Journal on Matrix Analysis and Applications, 2007 We consider here the linear least squares problem $\min_{y \in \mathbb{R}^n}\|Ay-b\|_2$, where $b \in \mathbb{R}^m$ and $A \in \mathbb{R}^{m\times n}$ is a matrix of full column rank $n$, and we denote $x$ its solution. We assume that both $A$ and $b$ can be perturbed and that these perturbations are measured using the Frobenius or the spectral norm ...
Arioli, Mario +2 more
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Nonstationary INAR(1) Process with th-Order Autocorrelation Innovation
Abstract and Applied Analysis, 2013 This paper is concerned with an integer-valued random walk process with qth-order autocorrelation. Some limit distributions of sums about the nonstationary process are obtained.
Kaizhi Yu, Hong Zou, Daimin Shi
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A Two-Step Estimation Method for a Time-Varying INAR Model
Axioms, 2023 This paper proposes a new time-varying integer-valued autoregressive (TV-INAR) model with a state vector following a logistic regression structure.
Yuxin Pang, Dehui Wang, Mark Goh
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Sensors, 2020 Sensor fusion is a topic central to aerospace engineering and is particularly applicable to unmanned aerial systems (UAS). Evidential Reasoning, also known as Dempster-Shafer theory, is used heavily in sensor fusion for detection classification.
Joel Dunham +3 more
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Consistent Model Selection Procedure for Random Coefficient INAR Models
Entropy, 2023 In the realm of time series data analysis, information criteria constructed on the basis of likelihood functions serve as crucial instruments for determining the appropriate lag order. However, the intricate structure of random coefficient integer-valued
Kaizhi Yu, Tielai Tao
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Statistical Estimates for the Conditioning of Linear Least Squares Problems [PDF]
, 2014 In this paper we are interested in computing linear least squares (LLS) condition numbers to measure the numerical sensitivity of an LLS solution to perturbations in data. We propose a statistical estimate for the normwise condition number of an LLS solution where perturbations on data are mesured using the Frobenius norm for matrices and the Euclidean
Marc Baboulin +3 more
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Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
FEBS Open Bio, EarlyView.Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
Parameter Estimation of the Three-Parameter Weibull Distribution Based on an Iterative CDF Method
MathematicsParameter estimation of the three-parameter Weibull distribution is an important problem in reliability analysis and statistical modeling. Random right-censored data are widely encountered in engineering practice.
Shenglei Liu +4 more
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A minimal cellulosome‐like system in Cellulosilyticum lentocellum
FEBS Open Bio, EarlyView.Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan +2 more
wiley +1 more source