Pages that link to "Item:Q3373752"
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The following pages link to How many bins should be put in a regular histogram (Q3373752):
Displaying 25 items.
- Estimating the intensity of a random measure by histogram type estimators (Q151295) (← links)
- Loda: lightweight on-line detector of anomalies (Q298359) (← links)
- Nonparametric density estimation in presence of bias and censoring (Q619090) (← links)
- Adaptive density estimation: A curse of support? (Q710759) (← links)
- Selecting the number of bins in a histogram: A decision theoretic approach (Q1360972) (← links)
- Iterated Bernstein operators for distribution function and density estimation: balancing between the number of iterations and the polynomial degree (Q1623808) (← links)
- A new algorithm for fixed design regression and denoising (Q1768095) (← links)
- Random rates in anisotropic regression. (With discussion) (Q1848941) (← links)
- Cumulative distribution function estimation under interval censoring case 1 (Q1951965) (← links)
- Adaptive density estimation on bounded domains under mixing conditions (Q2188474) (← links)
- Statistical estimation with model selection (Q2385788) (← links)
- Combining regular and irregular histograms by penalized likelihood (Q2445785) (← links)
- Model selection for density estimation with \(\mathbb L_2\)-loss (Q2447292) (← links)
- Model selection for regression on a random design (Q3150221) (← links)
- Penalized contrast estimator for adaptive density deconvolution (Q3417683) (← links)
- ADAPTIVE DENSITY ESTIMATION FOR GENERAL ARCH MODELS (Q3551012) (← links)
- Model selection for (auto-)regression with dependent data (Q4534854) (← links)
- Adaptive estimation of a quadratic functional of a density by model selection (Q4671819) (← links)
- False discovery rate control for grouped or discretely supported p-values with application to a neuroimaging study (Q5212097) (← links)
- Adaptive quadratic functional estimation of a weighted density by model selection (Q5402490) (← links)
- Finite sample penalization in adaptive density deconvolution (Q5454207) (← links)
- Histogram selection in non Gaussian regression (Q5851012) (← links)
- A comparison of automatic histogram constructions (Q5851017) (← links)
- Some applications of concentration inequalities to statistics (Q5930238) (← links)
- Fast and fully-automated histograms for large-scale data sets (Q6167056) (← links)
