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Everything about Interval predictor model
In regression analysis, an interval predictor model (IPM) is an approach to regression where bounds on the function to be approximated are obtained. This differs from other techniques in machine learning, where usually one wishes to estimate point values or an entire probability distribution. Interval Predictor Models are sometimes referred to as a nonparametric regression technique, because a potentially infinite set of functions are contained by the IPM, and no specific distribution is implied for the regressed variables. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Interval predictor modelA 5-minute orientation
- Skim a recent paper: Dynamic event trigger adaptive horizon model free robust predictive control for hovercraft heading tracking using interval predictorInfluential work since 2022
- Pick up a classic book: Introduction to Probability and StatisticsThe most-reprinted book on the subject
- Read the landmark paper: Interval model updating with irreducible uncertainty using the Kriging predictorCited 176 times
- Go sideways: Scenario optimizationA closely related topic
- Go sideways: Marco Claudio CampiA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Interval model updating with irreducible uncertainty using the Kriging predictor
Interval predictor models: Identification and reliability
Robust propagation of probability boxes by interval predictor models
On a class of interval predictor models with universal reliability
Interval Predictor Models With a Linear Parameter Dependency
Frequentist history matching with Interval Predictor Models
NEW RESULTS ON THE IDENTIFICATION OF INTERVAL PREDICTOR MODELS
Structure selection based on interval predictor model for recovering static non‐linearities from chaotic data
🆕 Influential since 2022
Dynamic event trigger adaptive horizon model free robust predictive control for hovercraft heading tracking using interval predictor
Application of Interval Predictor Model Into Model Predictive Control
Interval Predictor Model for the Survival Signature Using Monotone Radial Basis Functions
Robust cooperative fuzzy model predictive control for nonlinear systems: A distributed interval predictor approach
📚 Books worth reading
Introduction to Probability and StatisticsJ. Susan Milton, Jesse C. Arnold · 1990
Introduction to Multiple Time Series AnalysisHelmut Lütkepohl, Helmut Lutkepohl · 1991
Empirical LikelihoodArt B. Owen · 2001
Interaction Effects in Linear and Generalized Linear ModelsRobert L. Kaufman · 2018- 📕Applied regression modelingIain Pardoe · 2012
- 📕RTony Fischetti · 2017
Introduction to probability and statisticsJ. Susan Milton, Jesse C. Arnold · 2002
StatisticsRichard A. Johnson · 2010
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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