Concept
Estimation (project management)
Related publications (33)
The two-point correlation function covariance with fewer mocks
We present FITCOV an approach for accurate estimation of the covariance of two-point correlation functions that requires fewer mocks than the standard mock-based covariance. This can be achieved by dividing a set of mocks into jackknife regions and fitting ...
Oxford2023Parametric Estimation For Functional Autoregressive Processes On The Sphere
The aim of this paper is to define a nonlinear least squares estimator for the spectral parameters of a spherical autoregressive process of order 1 in a parametric setting. Furthermore, we investigate on its asymptotic properties, such as weak consistency ...
2022PoGaIN: 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 ...
2022Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations
Michel Bierlaire, Prateek Bansal
Variational Bayes (VB) methods have emerged as a fast and computationally-efficient alternative to Markov chain Monte Carlo (MCMC) methods for scalable Bayesian estimation of mixed multinomial logit (MMNL) models. It has been established that VB is substan ...
PERGAMON-ELSEVIER SCIENCE LTD2020Predicting learners' effortful behaviour in adaptive assessment using multimodal data
Kshitij Sharma, Jennifer Kaitlyn Olsen
Many factors influence learners' performance on an activity beyond the knowledge required. Learners' on-task effort has been acknowledged for strongly relating to their educational outcomes, reflecting how actively they are engaged in that activity. Howeve ...
ASSOC COMPUTING MACHINERY2020Decentralized clustering for node-variant graph filtering with graph diffusion LMS
In this work, we consider the problem of estimating the coefficients of linear shift-invariant FIR graph filters. We assume hybrid node-varying graph filters where the network is decomposed into clusters of nodes and, within each cluster, all nodes have th ...
IEEE2018SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Uncertainty estimation in large deep-learning models is a computationally challenging task, where it is difficult to form even a Gaussian approximation to the posterior distribution. In such situations, existing methods usually resort to a diagonal approxi ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018Functional Peaks-Over-Threshold Analysis for Complex Extreme Events
Most current risk assessment for complex extreme events relies on catalogues of similar events, either historical or generated artificially. In the latter, no existing methods produce completely new events with mathematically justified extrapolation above ...
EPFL2018Probing whole-stream metabolism: influence of spatial heterogeneity on rate estimates
- Whole-stream metabolism has been estimated by measuring in-stream oxygen (O2) concentrations since the method was introduced over 50 years ago. However, the influence of measurement location and estimation method on metabolism rates is understudied. We ...
Efficient Analysis of Confined Guided Modes in Phoxonic Crystal Slabs
Today's standard fabrication processes are just capable of manufacturing slab of photonic and phononic crystals, so an efficient method for analysis of these crystals is indispensable. Plane wave expansion (PWE) as a widely used method in studying photonic ...
Ieee-Inst Electrical Electronics Engineers Inc2017