Results 41 to 50 of about 617,206 (220)
One of the major challenges in spatial transcriptomics is to detect spatially variable genes (SVGs), whose expression patterns are non-random across tissue locations.
Haohao Su +3 more
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Positive Correlation between Normal Serum Gastrin Concentrations and Antral and Duodenal G Cells
It is controversial whether there is a correlation between serum gastrin concentrations and the density of G cells in the antral or duodenal mucosa. In this study, endoscopically obtained antral and duodenal biopsies were stained immunocytochemically for
WR Yacoub +4 more
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Research on the Application of Probability Statistics in Science and Engineering Courses Under the Background of Big Data [PDF]
Yuanyuan Mao
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The exchange rate is an important variable in international trade which is used as a parameter to determine a country’s international competitiveness and indicates the position of the country’s economy. A change in the exchange rate of the Kenya shilling
Charline Uwilingiyimana +3 more
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The Holling Type II Population Model Subjected to Rapid Random Attacks of Predator
We present the analysis of a mathematical model of the dynamics of interacting predator and prey populations with the Holling type random trophic function under the assumption of random time interval passage between predator attacks on prey. We propose a
Jevgeņijs Carkovs +2 more
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Gaussian Volterra processes with power-type kernels. Part I
The stochastic process of the form \[ {X_{t}}={\int _{0}^{t}}{s^{\alpha }}\left({\int _{s}^{t}}{u^{\beta }}{(u-s)^{\gamma }}\hspace{0.1667em}du\right)\hspace{0.1667em}d{W_{s}}\] is considered, where W is a standard Wiener process, $\alpha >-\frac{1}{
Yuliya Mishura, Sergiy Shklyar
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Stability Estimates for Finite-Dimensional Distributions of Time-Inhomogeneous Markov Chains
This paper is devoted to the study of the stability of finite-dimensional distribution of time-inhomogeneous, discrete-time Markov chains on a general state space.
Vitaliy Golomoziy, Yuliya Mishura
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On the Calibration of the Kennedy Model
The Kennedy model offers a robust framework for modeling forward rates, leveraging Gaussian random fields to accommodate emerging phenomena such as negative rates.
Dalma Tóth-Lakits, Miklós Arató
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The paper deals with a stochastic heat equation driven by an additive fractional Brownian space-only noise. We prove that a solution to this equation is a stationary and ergodic Gaussian process. These results enable us to construct a strongly consistent
Diana Avetisian, Kostiantyn Ralchenko
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Pedagogical Approaches in Statistics and Probability during Pandemic [PDF]
Cathlyn P. Dumale, Melanie G. Gurat
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