Results 1 to 10 of about 358,158 (189)
Compound distributions for financial returns. [PDF]
In this paper, we propose six Student's t based compound distributions where the scale parameter is randomized using functional forms of the half normal, Fréchet, Lomax, Burr III, inverse gamma and generalized gamma distributions.
Emmanuel Afuecheta +4 more
doaj +6 more sources
Computing compound distributions faster [PDF]
The use of Panjer's algorithm has meanwhile become a widespread standard technique for actuaries (Kuon et al., 1955). Panjer's recursion formula is used for the evaluation of compound distributions and can be applied to life and general insurance ...
Dekker, R. (Rommert) +2 more
core +7 more sources
Identifiability of Compound Poisson Distributions [PDF]
Compound Poisson distributions (CPD's) are frequently used as alternatives in studying situations where a simple Poisson model is found inadequate to describe.
Panaretos, John, Xekalaki, Evdokia
core +2 more sources
Comparing Compound Poisson Distributions by Deficiency: Continuous-Time Case
In the paper, we apply a new approach to the comparison of the distributions of sums of random variables to the case of Poisson random sums. This approach was proposed in our previous work (Bening, Korolev, 2022) and is based on the concept of ...
Vladimir Bening, Victor Korolev
doaj +1 more source
On Some Stationary INAR(1) Processes with Compound Poisson Distributions
Aly and Bouzar ([2]) used the backward approach in presence of the binomial thinning operator to construct underdispersed stationary first-order autoregressive integer valued (INAR (1)) processes.
Emad-Eldin A. A. Aly, Nadjib Bouzar
doaj +1 more source
A Compound Class of Inverse-Power Muth and Power Series Distributions
This paper introduces the inverse-power Muth power series model, which is a composition of the inverse-power Muth and the class of power series distributions.
Leonardo Barrios-Blanco +3 more
doaj +1 more source
Computing Moments of Compound Distributions [PDF]
The first few moments of compound distributions may be obtained by conditioning on the number of terms. It is shown how this method can be adapted to construct a recursive scheme for computing higher order moments of compound distributions.
R. Kaas, M. J. Goovaerts
openaire +1 more source
This paper considers a compound risk model, in which the individual claim sizes and their inter-arrival times can be arbitrarily dependent. We mainly investigate the claim sizes are extended negatively dependent.
Weiwei Ni, Chenghao Xu , Kaiyong Wang
doaj +1 more source
Deep learning-based approach for forecasting intermittent online sales
Deep Neural Networks (DNN’s) present some of the leading applications of Artificial Intelligence (AI) which have proven suitability on various machine-learning use cases.
Yashar Ahmadov, Petri Helo
doaj +1 more source
Oscillations in Multiparticle Production Processes
We discuss two examples of oscillations apparently hidden in some experimental results for high-energy multiparticle production processes: (i) the log-periodic oscillatory pattern decorating the power-like Tsallis distributions of transverse momenta; (ii)
Grzegorz Wilk, Zbigniew Włodarczyk
doaj +1 more source

