Results 31 to 40 of about 243,457 (312)
AxiomsThis paper gives expansions for the distribution, density and quantiles of any estimate that is a smooth function of the sample cross-moments of a stationary process.
Christopher Stroude Withers
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Condensation in the inclusion process and related models [PDF]
, 2011 We study condensation in several particle systems related to the inclusion process. For an asymmetric one-dimensional version with closed boundary conditions and drift to the right, we show that all but a finite number of particles condense on the ...
Vafayi, Kiamars +8 more
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Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
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Clustering piecewise stationary processes [PDF]
2020 IEEE International Symposium on Information Theory (ISIT), 2020 The problem of time-series clustering is considered in the case where each data-point is a sample generated by a piecewise stationary ergodic process. Stationary processes are perhaps the most general class of processes considered in non-parametric statistics and allow for arbitrary long-range dependence between variables.
Azadeh Khaleghi, Daniil Ryabko
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
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A Finite-State Stationary Process with Long-Range Dependence and Fractional Multinomial Distribution
Fractal and Fractional, 2022 We propose a discrete-time, finite-state stationary process that can possess long-range dependence. Among the interesting features of this process is that each state can have different long-term dependency, i.e., the indicator sequence can have a ...
Jeonghwa Lee
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Advanced Engineering Materials, EarlyView.This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
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Remarks on extreme eigenvalues of Toeplitz matrices
International Journal of Mathematics and Mathematical Sciences, 1988 Let f be a nonnegative integrable function on [−π,π], Tn(f) the (n+1)×(n+1) Toeplitz matrix associated with f and λ1,n its smallest eigenvalue. It is shown that the convergence of λ1,n to minf(0) can be exponentially fast even when f does not satisfy the
Mohsen Pourahmadi
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Modelling of Economic Time Series and the Method of Cointegration
Austrian Journal of Statistics, 2016 The article is focused on the problem of modelling multidimensional non-stationary cointegrated processes. It is a modern method especially used for the description of multidimensional economic time series.
Jiri Neubauer
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Extremum seeking control of the CANON process-Existence of multiple stationary solutions
, 2014 The paper considers the use of extremum seeking control (ESC) for real-time optimization of the completely autotrophic nitrogen removal over nitrite (CANON) process.
Trollberg, Olle +5 more
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