Pages that link to "Item:Q5858587"
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The following pages link to An Introduction to Statistical Learning (Q5858587):
Displaying 30 items.
- Fundamental ratios as predictors of ESG scores: a machine learning approach (Q2064635) (← links)
- An Introduction to Statistical Inference and Its Applications with R (Q3391622) (← links)
- (Q5053280) (← links)
- Importance Sampling with the Integrated Nested Laplace Approximation (Q5057258) (← links)
- Unsupervised modelling of a transitional boundary layer (Q5158482) (← links)
- Modern data science with R. Benjamin S.Baumer, Daniel T.KaplanNicholas J.Horton(2021). CRC Press, Boca Raton. 631 pages, ISBN: 9780367191498 (Q6068307) (← links)
- An Introduction to Statistical Learning (Q6113385) (← links)
- Credit risk analysis using boosting methods (Q6115491) (← links)
- Nonlinear regression modelling: a primer with applications and caveats (Q6124359) (← links)
- Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques (Q6126024) (← links)
- Statistical properties of BayesCG under the Krylov prior (Q6153355) (← links)
- Toric geometry. Abstracts from the workshop held March 27 -- April 2, 2022 (Q6170526) (← links)
- Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach (Q6170882) (← links)
- A spatial extension of weather forecasts (Q6178869) (← links)
- Forecasting with Economic News (Q6190684) (← links)
- Locally penalized single-index model using B-splines and spherical coordinates (Q6544947) (← links)
- A learning analytics case study: on class sizes in undergraduate writing courses (Q6548769) (← links)
- A dynamic causal modeling of the second outbreak of COVID-19 in Italy (Q6549695) (← links)
- Using cross-validation methods to select time series models: promises and pitfalls (Q6559931) (← links)
- Mathematical programming for simultaneous feature selection and outlier detection under l1 norm (Q6565451) (← links)
- An empirical study of a simple incremental classifier based on vector quantization and adaptive resonance theory (Q6567111) (← links)
- Ridge Regression Under Dense Factor Augmented Models (Q6567950) (← links)
- Multivariate functional subspace classification for high-dimensional longitudinal data (Q6578481) (← links)
- Variants of non-symmetric correspondence analysis for nominal and ordinal variables (Q6581402) (← links)
- Learning to Forecast: The Probabilistic Time Series Forecasting Challenge (Q6585627) (← links)
- An RKHS approach for pivotal inference in functional linear regression (Q6593374) (← links)
- Effective sample size: a measure of individual uncertainty in predictions (Q6618422) (← links)
- A comparison of strategies for selecting auxiliary variables for multiple imputation (Q6625385) (← links)
- Risk factor aggregation and stress testing (Q6657704) (← links)
- A data science approach to climate change risk assessment applied to pluvial flood occurrences for the United States and Canada (Q6668684) (← links)
