Results 131 to 140 of about 59,541 (246)
Quantum higher-order Fourier analysis and the Clifford hierarchy. [PDF]
Bu K, Gu W, Jaffe A.
europepmc +1 more source
Grid cells, border cells, and discrete complex analysis. [PDF]
Dabaghian Y.
europepmc +1 more source
ABSTRACT Expectile is a coherent and elicitable law‐invariant risk measure widely applied in risk management. Existing methods based on iteratively reweighted least squares (IWLS) are not computationally efficient for large‐scale sample sizes. To overcome the issue, we develop a direct nonparametric conditional expectile function estimator by inverting
Feipeng Zhang, Ping‐Shou Zhong
wiley +1 more source
Fault Tree Reliability Analysis via Squarefree Polynomials: Mathematical and Experimental Analysis. [PDF]
Lopuhaä-Zwakenberg M.
europepmc +1 more source
Density‐Valued ARMA Models by Spline Mixtures
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
<i>N</i> =1 Super Virasoro Tensor Categories. [PDF]
Creutzig T +3 more
europepmc +1 more source
ABSTRACT We consider the problem of sequential (online) estimation of a single change point in a piecewise linear regression model under a Gaussian setup. We demonstrate that certain CUSUM‐type statistics attain the minimax optimal rates for localizing the change point.
Annika Hüselitz, Housen Li, Axel Munk
wiley +1 more source
A Unifying Framework for Complex-Valued Eigenfunctions via The Cartan Embedding. [PDF]
Gudmundsson S, Lindström A.
europepmc +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Abelian varieties of prescribed order over finite fields. [PDF]
van Bommel R +4 more
europepmc +1 more source

