Probabilistic Graph Models (PGMs) for Feature Selection in Time Series Analysis and Forecasting
Syed Ali Raza Naqvi, Tahseen Ahmed Jilani
Journal
- ISSN / E-ISSN
- 2412-0448 / 1998-4154
- DOI
- 10.31645/jisrc.49.19.2.3 ↗
- Volume · Issue · Pages
- 19 · 2 · —
- Publisher
- Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST) University, Karachi
- Article URL
- https://doi.org/10.31645/jisrc.49.19.2.3 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Jan 2021
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 01 Jan 2021 | OpenAlex |
Keywords (as given): Conditional independence; Autoregressive model; Autoregressive conditional heteroskedasticity; Conditional random field; Directed acyclic graph; Probabilistic logic; Conditional variance; Computer science; Econometrics; Feature selection; Bayesian network; Time series; Independence (probability theory); Artificial intelligence; Statistics; Machine learning; Mathematics; Volatility (finance); Algorithm
HEC Status at Publication Not the journal's current status
HEC Status at PublicationNot conclusive
Historical status could not be conclusively determined.
- HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
Best available information, not a definitive status: HEC status cannot be determined for this date: no HEC list is recorded as in effect on it.
- Journal
- JISR on Computing
- Publication date used
- 01 Jan 2021 (OpenAlex publication date)
- Applicable HEC period
- None recorded for this date
- Category
- —
- Recognition status
- Unknown (NO_PERIOD_FOR_DATE)
- Source
- —
- Verification status
- Not available
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