Publications related to Kurtosis

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

This paper proposes an algorithm to upper-bound maximal quantile statistics of a state function over the course of a Stochastic Differential Equation (SDE) system execution. This chance-peak problem is posed as a nonconvex program aiming to maximize the Va ...

IEEE2023

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

2023

Hierarchical processing underpins competition in tactile perceptual bistability

Andrea Ferrario

Ambiguous sensory information can lead to spontaneous alternations between perceptual states, recently shown to extend to tactile perception. The authors recently proposed a simplified form of tactile rivalry which evokes two competing percepts for a fixed ...

SPRINGER2023

Data-driven modeling of beam loss in the LHC

Tatiana Pieloni, Michael Schenk, Ekaterina Krymova, Loïc Thomas Davies Coyle

In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the particles with high oscilla-tion amplitudes or large momentum error are scrape ...

FRONTIERS MEDIA SA2023

Guard-Ring-Free InGaAs/InP Single-Photon Avalanche Diode Based on a Novel One-Step Zn-Diffusion Technique

Edoardo Charbon, Claudio Bruschini, Ekin Kizilkan, Utku Karaca, Vladimir Pesic, Myung Jae Lee

This work presents a novel InGaAs/InP SPAD structure fabricated using a selective area growth (SAG) method. The surface topography of the selectively grown film deposited within the 70 mu m diffusion apertures is used to engineer the Zn diffusion profile t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired Samples

Sabine Süsstrunk, Majed El Helou, Kaan Okumus

Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessible. N ...

IEEE Institute of Electrical and Electronics Engineers2022

Sparsely Observed Functional Time Series: Theory and Applications

Tomas Rubin

Functional time series is a temporally ordered sequence of not necessarily independent random curves. While the statistical analysis of such data has been traditionally carried out under the assumption of completely observed functional data, it may well ha ...

EPFL2021

Inference on the Angular Distribution of Extremes

Claudio Andri Semadeni

The spectral distribution plays a key role in the statistical modelling of multivariate extremes, as it defines the dependence structure of multivariate extreme-value distributions and characterizes the limiting distribution of the relative sizes of the co ...

EPFL2020

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Rico Krüger

This paper i) compares parametric and semi-parametric representations of unobserved heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer distributions of willingness to pay for features of shared automated vehicle (SAV ...

2020

Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies

Georges Meylan, Yi Wang, Richard Massey

Weak lensing, which is the deflection of light by matter along the line of sight, has proven to be an efficient method for constraining models of structure formation and reveal the nature of dark energy. So far, most weak-lensing studies have focused on th ...

EDP SCIENCES S A2020

Megapixel time-gated SPAD image sensor for 2D and 3D imaging applications

Edoardo Charbon, Claudio Bruschini, Ivan Michel Antolovic, Andrei Ardelean, Ming-Lo Wu, Arin Can Ülkü, Kazuhiro Morimoto

We present a 1 Mpixel single-photon avalanche diode camera featuring 3.8 ns time gating and 24 kips frame rate, fabricated in 180 nm CMOS image sensor technology. We designed two pixels with a pitch of 9.4 mu m in 7 T and 5.75 T configurations respectively ...

2020

Reconstructing the Drizzle Mode of the Raindrop Size Distribution Using Double-Moment Normalization

Alexis Berne, Timothy Hugh Raupach

Commonly used disdrometers tend not to accurately measure concentrations of very small drops in the raindrop size distribution (DSD), either through truncation of the DSD at the small-drop end or because of large uncertainties on these measurements. Recent ...

AMER METEOROLOGICAL SOC2019

Search for B- -> mu(-)(nu)over-bar(mu) Decays at the Belle Experiment

Olivier Schneider, Sun Hee Kim, Mingkui Wang, Chao Wang, Tara Nanut, Tagir Aushev, Joo Yeon Kim, Timothy Chi Hin Liew, Chang-Hyun Park, Seyed Sina Mirrazavi Salehian, Jun Yong Kim, Yong Chan Choi, Ji Hyun Kim, Takayuki Yamashita, Donghyun Kim, Dipanwita Dutta, Martin Lubej

We report the results of a search for the rare, purely leptonic decay B- -> mu(-)(nu) over bar (mu) performed with a 711 fb(-1) data sample that contains 772 x 10(6) B (B) over bar pairs, collected near the Upsilon(4S) resonance with the Belle detector at ...

2018

New Approach to Identifying Critical Initial Conditions for Extreme Flood Simulations in a Semicontinuous Simulation Framework

Anton Schleiss, Javier García Hernández, Bettina Schaefli, Fränz Zeimetz, Guillaume Mathieu Artigue

Extreme flood simulation with synthetic extreme precipitation events raises unavoidable questions about the choice of initial conditions. State-of-the-art extreme flood estimation frameworks propose to address these questions with the help of semicontinuou ...

2018

A High-PDE, Backside-Illuminated SPAD in 65/40-nm 3D IC CMOS Pixel With Cascoded Passive Quenching and Active Recharge

Edoardo Charbon, Scott Anthony Lindner, Martin Wolf

We present a complete pixel based on a single-photon avalanche diode (SPAD) fabricated in a backside-illuminated (BSI) 3D IC technology. The chip stack comprises an image sensing tier produced in a 65-nm image sensor technology and a data processing tier i ...

Institute of Electrical and Electronics Engineers2017

On the Structure of Cortical Microcircuits Inferred from Small Sample Sizes

Rodrigo de Campos Perin

The structure in cortical microcircuits deviates from what would be expected in a purely random network, which has been seen as evidence of clustering. To address this issue, we sought to reproduce the nonrandom features of cortical circuits by considering ...

Soc Neuroscience2017

Multi-Period Portfolio Optimization: Translation of Autocorrelation Risk to Excess Variance

Napat Rujeerapaiboon, Byung-Geun Choi

Growth-optimal portfolios are guaranteed to accumulate higher wealth than any other investment strategy in the long run. However, they tend to be risky in the short term. For serially uncorrelated markets, similar portfolios with more robust guarantees hav ...

2016

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Rolf Gruetter, Yves Wiaux, Diana Khabipova, José Pedro Rebelo Ferreira Marques

The aim of this study is to perform a thorough comparison of quantitative susceptibility mapping (QSM) techniques and their dependence on the assumptions made. The compared methodologies were: two iterative single orientation methodologies minimizing the l ...

Elsevier2015

Inhomogeneity of charge-density-wave order and quenched disorder in a high-T-c superconductor

Janusz Andrzej Karpinski, Davide Innocenti

It has recently been established that the high-transition-temperature (high-T-c) superconducting state coexists with short-range charge-density-wave order(1-11) and quenched disorder(12,13) arising from dopants and strain(14-17). This complex, multiscale p ...

Nature Publishing Group2015

Traffic modeling, forecasting and assignment in large-scale networks

Mehmet Yildirimoglu

Today, the development and evaluation of traffic management strategies heavily relies on microscopic traffic simulation models. In case detailed input (i.e. od matrix, signal timings, etc.) is extracted and incorporated in these simulators, they can provid ...

EPFL2015