Results 51 to 60 of about 61,616 (135)

Extreme Value Index Estimators and Smoothing Alternatives: A Critical Review [PDF]

open access: yes
Extreme-value theory and corresponding analysis is an issue extensively applied in many different fields. The central point of this theory is the estimation of a parameter γ, known as the extreme-value index. In this paper we review several extreme-value
Panaretos, John, Tsourti, Zoi
core   +1 more source

Tail Behaviour of the Euro [PDF]

open access: yes
This paper empirically analyses risk in the Euro relative to other currencies. Comparisons are made between a sub period encompassing the final transitional stage to full monetary union with a sub period prior to this.
Cotter, John
core   +1 more source

Estimating the probability of large negative stock market [PDF]

open access: yes
Correct assessment of the risks associated with likely economic outcomes is vital for effective decision making. The objective of investment in the stock market is to obtain positive market returns.
Philip Kostov, Seamus McErlean
core  

Kernel Methods for Small Sample and Asymptotic Tail Inference for Dependent, Heterogeneous Data [PDF]

open access: yes
This paper considers tail shape inference techniques robust to substantial degrees of serial dependence and heterogeneity. We detail a new kernel estimator of the asymptotic variance and the exact small sample mean-squared-error, and a simple ...
Jonathan Hill
core  

Comparison Between Bayesian and Frequentist Tail Probability Estimates

open access: yes, 2019
In this paper, we investigate the reasons that the Bayesian estimator of the tail probability is always higher than the frequentist estimator. Sufficient conditions for this phenomenon are established both by using Jensen's Inequality and by looking at ...
González, Bárbara   +2 more
core  

Bias-reduced and variance-corrected asymptotic Gaussian inference about extreme expectiles

open access: yesStatistics and computing
A. Daouia   +2 more
semanticscholar   +1 more source

Operational manifolds in spiking neural networks. [PDF]

open access: yesFront Neurosci
Mazurek S, Caputa J, Maj P, Wielgosz M.
europepmc   +1 more source

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