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Han Lin Shang
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon...
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Zach D. Merino, Jenny Farmer and Donald J. Jacobs
We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes deviation...
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Shahid Latif and Slobodan P. Simonovic
Low-lying coastal communities are often threatened by compound flooding (CF), which can be determined through the joint occurrence of storm surges, rainfall and river discharge, either successively or in close succession. The trivariate distribution can ...
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Rachid Addou, Mohamed Hanchane, Khalid Obda, Nir Y. Krakauer, Bouchta El Khazzan, Ridouane Kessabi and Hassan Achiban
The lack of a complete and reliable data series often represents the main difficulty in carrying out climate studies. Diverse causes, such as human and instrumental errors, false and incomplete records, and the use of obsolete equipment in some meteorolo...
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Filiberto Muñoz, Jorge S. Cervantes-Rojas, Jose M. Valdovinos, Omar Sandre-Hernández, Sergio Salazar and Hugo Romero
This research presents a way to improve the autonomous maneuvering capability of a four-degrees-of-freedom (4DOF) autonomous underwater vehicle (AUV) to perform trajectory tracking tasks in a disturbed underwater environment. This study considers four se...
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Wojciech Rafajlowicz
We consider a rather general problem of nonparametric estimation of an uncountable set of probability density functions (p.d.f.?s) of the form: ??(??;??)
f
(
x
;
r
)
, where r is a non-random real variable and ranges from ??1
R
1
to ??2
R
2
. We put emp...
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Ismail Shah, Hasnain Iftikhar and Sajid Ali
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy. As, for accurate policy formulation, precise and efficient forecasts of electricity consumption are vital, this paper implements a forecasting procedure based ...
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Miguel del Alamo, Housen Li, Axel Munk and Frank Werner
Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric r...
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Chunlai Qu, Jing Li, Lei Yan, Pengtao Yan, Fang Cheng and Dongyang Lu
Under changing environments, the most widely used non-stationary flood frequency analysis (NFFA) method is the generalized additive models for location, scale and shape (GAMLSS) model. However, the model structure of the GAMLSS model is relatively comple...
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With the increasing rate of wind power installed capacity, voltage state assessment with large-scale wind power integration is of great significance. In this paper, a vine-copula based voltage state assessment method with large-scale wind power integrati...
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