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Publications in Math-Net.Ru |
Citations |
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2024 |
| 1. |
C. Banerjee, L. A. Sakhanenko, D. C. Zhu, “Global rate optimality of integral curve estimators in high order tensor models: Supplemental material”, Teor. Veroyatnost. i Primenen., 69:3 (2024), 511–535  |
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2023 |
| 2. |
C. Banerjee, L. A. Sakhanenko, D. C. Zhu, “Global rate optimality of integral curve estimators
in high order tensor models”, Teor. Veroyatnost. i Primenen., 68:2 (2023), 301–321 ; Theory Probab. Appl., 68:2 (2023), 250–266  |
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2019 |
| 3. |
L. A. Sakhanenko, “Testing a multivariate distribution for generalized skew ellipticity”, Teor. Veroyatnost. i Primenen., 64:2 (2019), 358–374    ; Theory Probab. Appl., 64:2 (2019), 290–303  |
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2015 |
| 4. |
Andrey Pilipenko, Lyudmila Sakhanenko, “On a limit behavior of a one-dimensional random walk with non-integrable impurity”, Theory Stoch. Process., 20(36):2 (2015), 97–104 |
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2014 |
| 5. |
L. A. Sakhanenko, “Asymptotics of suprema of Gaussian fields with applications to kernel density estimators”, Teor. Veroyatnost. i Primenen., 59:3 (2014), 499–541 ; Theory Probab. Appl., 59:3 (2015), 415–451 |
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2010 |
| 6. |
L. A. Sakhanenko, “Global rate optimality in a model for diffusion tensor imaging”, Teor. Veroyatnost. i Primenen., 55:1 (2010), 19–35 ; Theory Probab. Appl., 55:1 (2011), 77–90 |
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2009 |
| 7. |
L. A. Sakhanenko, “Lower Bounds for Accuracy of Estimation in Diffusion Tensor Imaging”, Teor. Veroyatnost. i Primenen., 54:1 (2009), 170–180 ; Theory Probab. Appl., 54:1 (2010), 168–177 |
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2001 |
| 8. |
I. S. Borisov, L. A. Sakhanenko, “The Central Limit Theorem for Generalized Canonical von Mises Statistics”, Mat. Tr., 4:1 (2001), 3–17 ; Siberian Adv. Math., 10:4 (2000), 1–14 |
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