Concept

Multilevel model

Related publications (223)

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Estimation of the trajectory is a fundamental problem in robotics. Introduction of additional measurements in a robotic platform reduces the uncertainty in the trajectory estimate. The limitations on the power and payload in a UAV platform advocates for th ...

2019

Automatic L2 Regularization for Multiple Generalized Additive Models

Yousra El Bachir

Multiple generalized additive models are a class of statistical regression models wherein parameters of probability distributions incorporate information through additive smooth functions of predictors. The functions are represented by basis function expan ...

EPFL2019

Learning without Smoothness and Strong Convexity

Yen-Huan Li

Recent advances in statistical learning and convex optimization have inspired many successful practices. Standard theories assume smoothness---bounded gradient, Hessian, etc.---and strong convexity of the loss function. Unfortunately, such conditions may ...

EPFL2018

Dependence properties of spatial rainfall extremes and areal reduction factors

Anthony Christopher Davison, Sebastian Engelke

Areal reduction factors (ARFs) transform an estimate of extreme rainfall at a point to an estimate of extreme rainfall over a spatial domain, and are commonly used in flood risk estimation. For applications such as the design of large infrastructure, dam s ...

2018

What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study

Objective: Young people often drink more alcohol than intended over the course of a night. This study investigates individual and night-specific factors predicting young people’s acknowledgment of having drunk more than intended. Method: Using the Yout ...

2018

Methodology And Convergence Rates For Functional Time Series Regression

Victor Panaretos, Tung Huy Pham

The functional linear model extends the notion of linear regression to the case where the response and covariates are iid elements of an infinite-dimensional Hilbert space. The unknown to be estimated is a Hilbert-Schmidt operator, whose inverse is by defi ...

STATISTICA SINICA2018

Machine-learning the configurational energy of multicomponent crystalline solids

Anirudh Raju Natarajan

Machine learning tools such as neural networks and Gaussian process regression are increasingly being implemented in the development of atomistic potentials. Here, we develop a formalism to leverage such non-linear interpolation tools in describing propert ...

Springer Nature2018

Visual masking deficits in schizophrenia: A view into the genetics of the disease through an endophenotype

Michael Herzog, Jacques Fellay, Maya Roinishvili, Flavia Aurelia Shoko Hodel

Schizophrenia is a chronic disorder determined by a complex mix of genetic and environmental factors. To better understand the contributions of human genetic variation to schizophrenia, we performed a genome-wide association study of a validated endophenot ...

2018

Spatial Encoding of Translational Optic Flow in Planar Scenes by Elementary Motion Detector Arrays

Dario Floreano, Julien Jean Denis Nicolas Lecoeur, Emily Baird

Elementary Motion Detectors (EMD) are well-established models of visual motion estimation in insects. The response of EMDs are tuned to specific temporal and spatial frequencies of the input stimuli, which matches the behavioural response of insects to wid ...

2018

Structural Resilience through Model-Based Data Interpretation: From Building to City-Scale Post-Seismic Assessment

Ian Smith, Pierino Lestuzzi, Yves Sylvain Gilles Reuland, Lorenzo Diana

Earthquake-design approaches in regions with low to medium seismic hazard often focus on the protection of inhabitants. Therefore, some structural damage is accepted. In addition, large parts of the building stock have usually been built without considerin ...

Research Publishing2018

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