DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3020089
Abstract: In Internet-of-Things (IoT)-driven smart-world systems, real-time crowdsourced databases from multiple distributed servers can be aggregated to extract dynamic statistics from a larger population, thus providing more reliable knowledge for our society. Particularly, multiple distributed servers… read more here.
Keywords: time; statistical estimation; real time; time crowdsourced ... See more keywords
Over-the-Air Statistical Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2021.3118412
Abstract: We study schemes and lower bounds for distributed minimax statistical estimation over a Gaussian multiple-access channel (MAC) under squared error loss. Our framework combines statistical estimation and wireless communication. First, we develop “analog” joint estimation-communication… read more here.
Keywords: lower bounds; statistical estimation; mac; estimation ... See more keywords
Competitive Statistical Estimation With Strategic Data Sources
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2922190
Abstract: In recent years, data have played an increasingly important role in the economy as a good in its own right. In many settings, data aggregators cannot directly verify the quality of the data they purchase,… read more here.
Keywords: statistical estimation; competitive statistical; aggregator; strategic data ... See more keywords
Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3126906
Abstract: Graphs are commonly used in various applications such as online social networks (OSNs), E-commerce systems and social recommender systems. Random walk sampling is often used to conduct statistical estimation over such graphs. This paper develops… read more here.
Keywords: estimation graphs; statistical estimation; random walk; framework ... See more keywords
Statistical Estimation of Parameters for Binary Conditionally Nonlinear Autoregressive Time Series
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Methods of Statistics"
DOI: 10.3103/s1066530718020023
Abstract: The problem of statistical parameter estimation is considered for binary GLM-based autoregression with the link function of general form and the base functions (regressors) nonlinear w.r.t. the lagged variables. A new consistent asymptotically normal frequencies-based… read more here.
Keywords: estimation; fbe; estimation parameters; binary conditionally ... See more keywords
Statistical estimation of the Oscillating Brownian Motion
Sign Up to like & getrecommendations! Published in 2018 at "Bernoulli"
DOI: 10.3150/17-bej969
Abstract: We study the asymptotic behavior of estimators of a two-valued, discontinuous diffusion coefficient in a Stochastic Differential Equation, called an Oscillating Brownian Motion. Using the relation of the latter process with the Skew Brownian Motion,… read more here.
Keywords: motion; estimation oscillating; brownian motion; statistical estimation ... See more keywords
Statistical Estimation of Phase Response Curves Using Data Transformation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.88.084003
Abstract: This study is aimed at developing a statistical method to estimate phase response curves (PRCs) while considering a strong correlation between the PRC explanatory and response variables. The correl... read more here.
Keywords: statistical estimation; response; response curves; phase response ... See more keywords