On the public citation graph

Large deviations for a feed-forward network

https://doi.org/10.1239/aap/1308662492
0 signed · 30 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470316658openalex-snapshot
Markov Processes
inferredcites →https://doi.org/10.1002/9781118165904openalex-snapshot
A Weak Convergence Approach to the Theory of Large Deviations
inferredcites →https://doi.org/10.1007/978-1-4612-3038-0openalex-snapshot
Continuous-Time Markov Chains
inferredcites →https://doi.org/10.1007/978-1-4684-0176-9openalex-snapshot
Random Perturbations of Dynamical Systems
inferredcites →https://doi.org/10.1007/978-1-4757-5301-1openalex-snapshot
Fundamentals of Queueing Networks
inferredcites →https://doi.org/10.1007/978-3-642-61798-0openalex-snapshot
Elliptic Partial Differential Equations of Second Order
inferredcites →https://doi.org/10.1007/978-3-7643-8786-0_11openalex-snapshot
On the Large Deviations Properties of the Weighted-Serve-the-Longest-Queue Policy
inferredcites →https://doi.org/10.1016/s0304-4149(99)00051-4openalex-snapshot
Large deviations and queueing networks: Methods for rate function identification
inferredcites →https://doi.org/10.1070/rm2001v056n05abeh000398openalex-snapshot
Large deviations for Markov chains in the positive quadrant
inferredcites →https://doi.org/10.1090/mmono/161/03openalex-snapshot
Random perturbations of dynamical systems
inferredcites →https://doi.org/10.1201/9780429454820openalex-snapshot
Large Deviations For Performance Analysis
inferredcites →https://doi.org/10.1214/009117905000000189openalex-snapshot
Large deviations for processes with discontinuous statistics
inferredcites →https://doi.org/10.1214/aoap/1015345342openalex-snapshot
Join the shortest queue: stability and exact asymptotics
inferredcites →https://doi.org/10.1214/aoap/1015345404openalex-snapshot
Sample Path Large Deviations and Convergence Parameters
inferredcites →https://doi.org/10.1214/aoap/1027961033openalex-snapshot
On large deviations of Markov processes with discontinuous statistics
inferredcites →https://doi.org/10.1214/aoap/998926986openalex-snapshot
Largest Weighted Delay First Scheduling: Large Deviations and Optimality
inferredcites →https://doi.org/10.1214/aop/1019160115openalex-snapshot
Large deviation of diffusion processes with discontinuous drift and their occupation times
inferredcites →https://doi.org/10.1214/aop/1176990344openalex-snapshot
Large Deviations for Markov Processes with Discontinuous Statistics, I: General Upper Bounds
inferredcites →https://doi.org/10.1214/aop/1176990947openalex-snapshot
A Viscosity Solution Approach to the Asymptotic Analysis of Queueing Systems
inferredcites →https://doi.org/10.1287/moor.1070.0263openalex-snapshot
A Large Deviation Principle for Join the Shortest Queue
inferredcites →https://doi.org/10.1287/moor.1090.0389openalex-snapshot
Importance Sampling for Weighted-Serve-the-Longest-Queue
inferredcites →https://doi.org/10.2307/2290673openalex-snapshot
Counting Processes and Survival Analysis.
inferredcites →https://doi.org/10.2307/2669883openalex-snapshot
A Weak Convergence Approach to the Theory of Large Deviations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3322085openalex-extracted
Deep Learning Volatility
inferred← citeshttps://doi.org/10.1017/s0001867800005358openalex-snapshot
Advances in Applied Probability Volume 43 (2011): Index: General Applied Probability
inferred← citeshttps://doi.org/10.1080/14697688.2020.1817974openalex-snapshot
Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models
inferred← citeshttps://doi.org/10.1109/wsc68292.2025.11338953openalex-snapshot
When Machine Learning Meets Importance Sampling: A More Efficient Rare Event Estimation Approach
inferred← citeshttps://doi.org/10.1142/s2705109925500051openalex-snapshot
On Deep Calibration of (rough) Stochastic Volatility Models
inferred← citeshttps://doi.org/10.1145/2517450openalex-snapshot
Efficient importance sampling schemes for a feed-forward network
inferred← citeshttps://doi.org/10.70675/26485704z6ceaz4f8ezad01z9fcddda56e8eopenalex-snapshot
Artificial intelligence algorithms in quantitative finance
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.