Publications related to Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

Timing and spatial selection bias in rapid extreme event attribution

Anthony Christopher Davison, Ophélia Mireille Anna Miralles

Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

ELSEVIER2023

An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0

Adrien Michel, Tobias Jonas

Many methods exist to model snow densification in order to calculate the depth of a single snow layer or the depth of the total snow cover from its mass. Most of these densification models need to be tightly integrated with an accumulation and melt model a ...

COPERNICUS GESELLSCHAFT MBH2023

Estimation of Self-Exciting Point Processes from Time-Censored Data

Thomas Alois Weber, Philipp Schneider

Self-exciting point processes, widely used to model arrival phenomena in nature and society, are often difficult to identify. The estimation becomes even more challenging when arrivals are recorded only as bin counts on a finite partition of the observatio ...

2023

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

François Maréchal, Ivan Daniel Kantor, Julia Granacher

Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of reliable design solutions difficult. We propose an algorithm fo ...

2021

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Mohsen Talebkeikhah, Farzaneh Talebkeikhah, Mohammad Torkashvand

This study evaluates and compares several machine learning methods on the effects of different parameters in lead adsorption capacity. pH, contact time, adsorbent dosage and initial lead concentration were considered as inputs and adsorption capacity was r ...

TAYLOR & FRANCIS LTD2020

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Zhenzhu Meng, Yating Hu, Chenfei Shao

In most studies of dam's displacement prediction based on monitoring data, emphasis was given on improving the prediction accuracy, while the model stability was merely considered. This study proposed a numerical-statistical combined model which aims to im ...

2020

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Jean-Yves Le Boudec, Mario Paolone, Arpan Mukhopadhyay

We present a new approach for estimating the parameters of three-phase untransposed electrically short transmission lines using voltage/current synchrophasor measurements obtained from phasor measurement units. The parameters to be estimated are the entrie ...

2020

Diffusion LMS With Communication Delays: Stability and Performance Analysis

Ali H. Sayed, Roula Nassif

We study the problem of distributed estimation over adaptive networks where communication delays exist between nodes. In particular, we investigate the diffusion Least-Mean-Square (LMS) strategy where delayed intermediate estimates (due to the communicatio ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

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Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

Spectral Estimators for High-Dimensional Matrix Inference

Timing and spatial selection bias in rapid extreme event attribution

An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0

Estimation of Self-Exciting Point Processes from Time-Censored Data

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Diffusion LMS With Communication Delays: Stability and Performance Analysis

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Chat with Graph Search

An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0

Spectral Estimators for High-Dimensional Matrix Inference

Timing and spatial selection bias in rapid extreme event attribution

Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models

Estimation of Self-Exciting Point Processes from Time-Censored Data

Investigation of effective processes parameters on lead (II) adsorption from wastewater by biochar in mild air oxidation pyrolysis process

Improve the Model Stability of Dam's Displacement Prediction Using a Numerical-Statistical Combined Model

Diffusion LMS With Communication Delays: Stability and Performance Analysis

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements