Variance Estimation over Sliding Windows
Summary: First work to close the complexity gap for ε-approximate variance over sliding windows, improving on prior O(1/ε^2 · log N) space vs. the Ω(1/ε · log N) lower bound. Achieves optimal O(1/ε · log N) space and O(1) worst-case update time. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Linfeng Zhang
- 2. Yong Guan
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 43 | Models and Issues in Data Stream Systems | 2002 | PODS | 0.00072660894 |
| 783 | StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time | 2002 | VLDB | 0.00016648503 |
| 846 | Approximate Counts and Quantiles over Sliding Windows | 2004 | PODS | 0.00015949293 |
| 2,403 | Maintaining Variance and k–Medians over Data Stream Windows | 2003 | PODS | 8.8738166e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,217 | Optimal Matrix Sketching over Sliding Windows | 2024 | VLDB | 4.3674946e-05 |
| 126 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00044753012 |
| 2,807 | Optimal Sampling from Sliding Windows | 2009 | PODS | 8.096649e-05 |
| 10,905 | Streaming Algorithms with Few State Changes | 2024 | PODS | 4.1905499e-05 |
| 11,831 | Variability in Data Streams | 2016 | PODS | 4.1905499e-05 |
| 6,775 | Matrix Sketching Over Sliding Windows | 2016 | SIGMOD | 4.9252038e-05 |
| 12,116 | Space-Efficient Estimation of Statistics over Sub-Sampled Streams | 2012 | PODS | 4.1905499e-05 |
| 6,758 | Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives | 2019 | PODS | 4.9335749e-05 |
| 846 | Approximate Counts and Quantiles over Sliding Windows | 2004 | PODS | 0.00015949293 |
| 2,403 | Maintaining Variance and k–Medians over Data Stream Windows | 2003 | PODS | 8.8738166e-05 |