Concept

Regression toward the mean

Related publications (76)

Robust Adaptation in Impulsive Noise

The popular least-mean-squares (LMS) algorithm for adaptive filtering is nonrobust against impulsive noise in the measurements. The presence of this type of noise degrades the transient and steady-state performance of the algorithm. Since the distribution ...

2016

Comparison of the two point bending and four point bending test methods for aged asphalt concrete field samples

André-Gilles Dumont, Michel Pittet, Manfred Partl

Complex modulus and fatigue behavior are important characteristics for all materials. Some European countries have developed performance oriented requirements for bituminous mixtures. Using such requirements it is expected that the life of pavements can be ...

Springer Verlag2015

Process Design and Optimization (MLS-S03): a Journey in Modeling, Optimization and Regression

Julien Léo Billeter

This lecture describes the following topics: • Preamble on Linear Algebra • Dynamic and Static Models • Solving Dynamic and Static Models • Solving Optimization Problems • Solving Regression Problems ...

2015

A Geometric View on Constrained M-Estimators

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

We study the estimation error of constrained M-estimators, and derive explicit upper bounds on the expected estimation error determined by the Gaussian width of the constraint set. Both of the cases where the true parameter is on the boundary of the constr ...

2015

Experiments on magneto-hydrodynamics instabilities with ECH/ECCD in FTU using a minimal real-time control system

Cristian Galperti

Experiments on real time control of magneto-hydrodynamic (MHD) instabilities using injection of electron cyclotron waves (ECW) are being performed with a control system based on only three real time key items: an equilibrium estimator based on a statistica ...

International Atomic Energy Agency2015

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Stream temperature is a hydrological factor which affects the habitat suitability of many aquatic species, and is therefore of great concern in the actual context of climate change. Its prediction in ungauged basins is usually based on statistical approach ...

2015

The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: Indications of underlying aerosol processes and implications for satellite-based CCN estimates

Athanasios Nenes

We examine the relationship between the number concentration of boundary-layer cloud condensation nuclei (CCN) and light extinction to investigate underlying aerosol processes and satellite-based CCN estimates. For a variety of airborne and ground-based ob ...

Copernicus GmbH2015

Heat demand estimation for different building types at regional scale considering building parameters and urban topography

François Maréchal, Jessen Page, Nils Christian Schüler, Alexandre Suzanne Jean-Marie Bertrand

This study aims towards an improved estimation of annual heat demand of the building stock for an entire region. This requires the holistic representation of aspects influencing the heat demand of buildings, namely their geometry, fabric, users and surroun ...

Elsevier2015

Stream temperature prediction in ungauged basins: review of recent approaches and description of a new physics-derived statistical model

Michael Lehning, Marc Parlange, Bettina Schaefli, Aurélien Gallice

The development of stream temperature regression models at regional scales has regained some popularity over the past years. These models are used to predict stream temperature in ungauged catchments to assess the impact of human activities or climate chan ...

European Geosciences Union2015

Investigating the Monthly Mean Stream Temperature Dynamics

Andrea Rinaldo, Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Affecting the habitat suitability of many fish species, water temperature is a hydrological factor of great concern in the actual context of climate change. Despite more than 40 years of research on this topic, the impact of landscape on the dynamics of st ...

2014

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