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Everything about Predictive modelling
Form of modelling that uses statistics to predict outcomes
In finance and mathematics, predictive modelling is the use of statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Predictive modellingA 5-minute orientation
- Skim a recent paper: Ecological modelling approaches for predicting emergent properties in microbial communitiesInfluential work since 2022
- Pick up a classic book: Time Series AnalysisThe most-reprinted book on the subject
- Read the landmark paper: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivityCited 7,416 times
- Go sideways: Predictive analyticsA closely related topic
- Go sideways: Clinical prediction ruleA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Chemical predictive modelling to improve compound quality
Space-time landslide predictive modelling
Validated predictive modelling of the environmental resistome
Predictive modelling of ferroelectric tunnel junctions
Predictive modelling of hydroxyapatite-polyethylene composite
Adaptive multiscale predictive modelling
Predictive uncertainty in environmental modelling
🆕 Influential since 2022
Ecological modelling approaches for predicting emergent properties in microbial communities
Augmenting DMTA using predictive AI modelling at AstraZeneca
Unlocking Insights of Fuzzy Mathematics for Enhanced Predictive Modelling
Automated machine learning as a partner in predictive modelling
Predictive Modelling of Employee Attrition Using Deep Learning
📚 Books worth reading
Time Series AnalysisGeorge E. P. Box, Gwilym M. Jenkins · 1970
Model predictive controlE. F. Camacho, Eduardo F. Camacho · 1999
Prediction and regulation by linear least-square methodsPeter Whittle · 1963- 📕Acoustic treatment design scaling methodsR. E. Kraft · 1999
- 📕A homogeneous stochastic model for earthquake occurrencesAnne S. Kiremidjian · 1980
Time series analysis and forecastingLon-Mu Liu · 2005- 📕Predictive model for important ground motion parameters associated with large and great earthquakesJ. F. Evernden · 1988
- 📕Handbook of Research on Predictive Modeling and Optimization Methods in Science and EngineeringDookie Kim, Sanjiban Sekhar Roy · 2018
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Predictive analytics Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and…
- Clinical prediction rule A clinical prediction rule or clinical probability assessment specifies how to use medical signs, symptoms, and other findings to estimate the probability…
- Prediction A prediction (from Latin prae- 'before' and dictum 'something said') or forecast is a statement about a future event or about future data. Predictions…
- Logistic regression In statistics, a logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent…
- Linear regression In statistics, linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory…
- Regression dilution Regression dilution, also known as regression attenuation and attenuation bias, is the biasing of the linear regression slope towards zero (the underestimation…
- One in ten rule In statistics, the one in ten rule is a rule of thumb for how many predictor parameters can be estimated from data when doing regression analysis (in particular…
- Survival analysis Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and…