Stochastic daily precipitation model with a heavy-tailed component

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multisite downscaling of daily precipitation with a stochastic weather generator

Stochastic models of daily precipitation are useful both for characterizing different precipitation climates and for stochastic simulation of these climates in conjunction with agricultural, hydrological, or other response models. A simple stochastic precipitation model is used to downscale— i.e. disaggregate from area-average to individual station—precipitation statistics for 6 groups of 5 U.S...

متن کامل

Heavy-Tailed Symmetric Stochastic Neighbor Embedding

Stochastic Neighbor Embedding (SNE) has shown to be quite promising for data visualization. Currently, the most popular implementation, t-SNE, is restricted to a particular Student t-distribution as its embedding distribution. Moreover, it uses a gradient descent algorithm that may require users to tune parameters such as the learning step size, momentum, etc., in finding its optimum. In this p...

متن کامل

Stochastic Scheduling of Heavy-tailed Jobs

We revisit the classical stochastic scheduling problem of nonpreemptively scheduling n jobs so as to minimize total completion time on m identical machines, P || E ∑ Cj in the standard 3field scheduling notation. Previously it was only known how to obtain reasonable approximation if jobs sizes have low variability. However, distributions commonly arising in practice have high variability, and t...

متن کامل

A Semi-Parametric Stochastic Model For Simultaneous Stochastic Simulation Of Daily Precipitation Amounts At Multiple Sites

EXTENDED ABSTRACT A semi-parametric stochastic model for generation of daily precipitation amounts, simultaneously at a collection of stations in a way that preserves realistic spatial correlations, accommodates seasonality, and reproduces a number of key aspects of the distributional and dependence properties of observed rainfall is described and illustrated. Following a conventional weather g...

متن کامل

Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors

An efficient Bayesian estimation using a Markov chain Monte Carlo method is proposed in the case of a multivariate stochastic volatility model as a natural extension of the univariate stochastic volatility model with leverage and heavy-tailed errors. Note that we further incorporate cross-leverage effects among stock returns. Our method is based on a multi-move sampler that samples a block of l...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Natural Hazards and Earth System Sciences

سال: 2014

ISSN: 1684-9981

DOI: 10.5194/nhess-14-2321-2014