The following pages link to Large deviations for M-estimators (Q2502131):
Displaying 19 items.
- Large deviations for estimators of some threshold parameters (Q257485) (← links)
- Delta method in large deviations and moderate deviations for estimators (Q548555) (← links)
- Moderate deviations of generalized method of moments and empirical likelihood estimators (Q550173) (← links)
- Large deviations for \(M\)-estimators (Q876776) (← links)
- Large deviation principle for moderate deviation probabilities of bootstrap empirical measures (Q906009) (← links)
- Large deviations of estimators (Q1082733) (← links)
- Moderate and Cramér-type large deviation theorems for M-estimators (Q1099529) (← links)
- Large deviation and other results for minimum contrast estimators (Q1293649) (← links)
- Some strong limit theorems for M-estimators (Q1343580) (← links)
- Chernoff index for Cox test of separate parametric families (Q1747731) (← links)
- Large deviations behavior for the quadratic error of density estimate (Q1969266) (← links)
- Large deviation principle for moment map estimation (Q2042769) (← links)
- An inverse Sanov theorem for exponential families (Q2112257) (← links)
- Bahadur efficiency of the maximum likelihood estimator and one-step estimator for quasi-arithmetic means of the Cauchy distribution (Q2164795) (← links)
- Statistical inference for the intensity in a partially observed jump diffusion (Q2414732) (← links)
- On some connections between Esscher's tilting, saddlepoint approximations, and optimal transportation: a statistical perspective (Q2684687) (← links)
- Large deviations of generalized method of moments and empirical likelihood estimators (Q3018508) (← links)
- Limit theorems for deviation means of independent and identically distributed random variables (Q6111885) (← links)
- Moderate deviations inequalities for Gaussian process regression (Q6198967) (← links)
