Results 31 to 40 of about 71,119 (185)
Adaptive compression against a countable alphabet [PDF]
This paper sheds light on universal coding with respect to classes of memoryless sources over a countable alphabet defined by an envelope function with finite and non-decreasing hazard rate.
Dominique Bontemps +2 more
doaj +1 more source
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openaire +2 more sources
Design of Waveform Shaping Filter in the UFMC System
The universal filtered multi-carrier (UFMC) has been taken as a promising candidate for future wireless communication, where a finite impulse response filter is employed to shape the waveform and enhance its resistance to inter-carrier interference.
Jiangang Wen +4 more
doaj +1 more source
Approximation and Parameterized Complexity of Minimax Approval Voting
We present three results on the complexity of Minimax Approval Voting. First, we study Minimax Approval Voting parameterized by the Hamming distance $d$ from the solution to the votes. We show Minimax Approval Voting admits no algorithm running in time $\
Cygan, Marek +3 more
core +1 more source
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito +10 more
wiley +1 more source
We consider the minimax rate of testing (or estimation) of non-linear functionals defined on semiparametric models. Existing methods appear not capable of determining a lower bound on the minimax rate of testing (or estimation) for certain functionals of interest.
Robins, James +3 more
openaire +4 more sources
μ Robust Stable Extrapolation of a Stationary Random Process with Interval Limited Variance
A method for synthesizing μ robust stable linear minimax extrapolator of a stationary random process under conditions of interval uncertainty of the parameters of the measured signal is presented.
Igor G. Sidorov
doaj +1 more source
Optimal Estimation and Prediction for Dense Signals in High-Dimensional Linear Models [PDF]
Estimation and prediction problems for dense signals are often framed in terms of minimax problems over highly symmetric parameter spaces. In this paper, we study minimax problems over l2-balls for high-dimensional linear models with Gaussian predictors.
Dicker, Lee
core
Asymptotic minimax risk of predictive density estimation for non-parametric regression
We consider the problem of estimating the predictive density of future observations from a non-parametric regression model. The density estimators are evaluated under Kullback--Leibler divergence and our focus is on establishing the exact asymptotics of ...
Liang, Feng, Xu, Xinyi
core +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source

