Topological analysis of scalar fields with outliers
, 2014 Given a real-valued function $f$ defined over a manifold $M$ embedded in $\mathbb{R}^d$, we are interested in recovering structural information about $f$ from the sole information of its values on a finite sample $P$. Existing methods provide approximation to the persistence diagram of $f$ when geometric noise and functional noise are bounded. However,
Buchet, Mickaël +5 more
openaire +5 more sources
Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection
Cauchy: Jurnal Matematika Murni dan AplikasiOutliers are observation values that are very different from most observations. The presence of outliers in data can have a negative impact on research but can contain important information for other research.
Annisa Putri Utami +2 more
doaj +1 more source
Estimation of Commodity Specific Production Costs Using German Farm Accountancy Data [PDF]
A central problem in estimating per unit costs of production originates from the fact that most farms produce multiple outputs and standard farm-accounting data are only available at the whole-farm level. The seemingly unrelated regression (SUR) approach
Bahta, Sirak Teclemariam +2 more
core +1 more source
Outlier Treatment and Robust Approaches for Modeling Electricity Spot Prices [PDF]
We investigate the effects of outlier treatment on the estimation of the seasonal component and stochastic models in electricity markets. Typically, electricity spot prices exhibit features like seasonality, mean-reverting behavior, extreme volatility ...
Trueck, Stefan +2 more
core +1 more source
Analysis of Data Containing Outliers
Journal of Probability and Statistical ScienceA strategy for accommodating outlying observations, as well as non-representative, suspect, missing, or otherwise troubling observations, is described. Each unusual observation is decomposed into the sum of two components. One component is the value implied by the trusted observations in the data set. The other component is the unusual part.
openaire +1 more source
SAS Macros for Analysis of Unreplicated 2^k and 2^k-p Designs with a Possible Outlier [PDF]
Many techniques have been proposed for judging the significance of effects in unreplicated 2^k and 2^k-p designs. However, relatively few methods have been proposed for analyzing unreplicated designs with possible outliers.
John Lawson
core +1 more source
Trust and Growth: A Shaky Relationship [PDF]
We conduct an extensive robustness analysis of the relationship between trust and growth by investigating a later time period and a bigger sample than in previous studies.
Berggren, Niclas +2 more
core
TPDA2 ALGORITHM FOR LEARNING BN STRUCTURE FROM MISSING VALUE AND OUTLIERS IN DATA MINING
Jurnal Informatika, 2006 Three-Phase Dependency Analysis (TPDA) algorithm was proved as most efficient algorithm (which requires at most O(N4) Conditional Independence (CI) tests).
Benhard Sitohang, G.A. Putri Saptawati
doaj
A Comprehensive Framework for Out-of-Distribution Detection and Open-Set Recognition in SAR Targets
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe rejection of outlier data in synthetic aperture radar (SAR) image analysis presents a significant challenge, particularly in the scenarios of out-of-distribution (OOD) detection and open set recognition (OSR).
Fei Gao +5 more
doaj +1 more source
Multivariate Regression and ANOVA Models with Outliers: A Comparative Approach [PDF]
Assuming a normal-Wishart modelling framework we compare two methods for finding outliers in a multivariate regression (MR) system. One method is the add-1-dummy approach which needs fewer parameters and a model choice criterion while the other method ...
Polasek, Wolfgang
core