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Time Series
📉 Time Series
Forecasting, ARIMA, Financial Modeling, Signal Processing
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413
posts in
15.9
ms
Time
Series
Analysis in Machine Learning
🌐
Static Sites
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Time Series Analysis in Machine Learning
Robustness of the
GARCH
Model
🏗️
System Design
Content type:
News
Content type:
Blog
harbourfrontquant.substack.com
·
3d
3 days ago
·
Substack
Actions for Robustness of the GARCH Model
Prophet — Facebook’s
Decompose-and-Forecast
for Everyone
🦙
Ollama
Content type:
Blog
grahamjroy.medium.com
·
18h
18 hours ago
Actions for Prophet — Facebook’s Decompose-and-Forecast for Everyone
Building a
Forecasting
App That Knows When Not to Forecast
⚖️
Risk Management
Content type:
Blog
medium.com
·
21h
21 hours ago
Actions for Building a Forecasting App That Knows When Not to Forecast
A novel approach for
forecasting
algal bloom: long short-term memory artificial neural network with
exponential
smoothing
feedback optimized by the arithmetic mean algorithm
🦙
Ollama
Content type:
Academic
nature.com
·
2d
2 days ago
Actions for A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm
Improving Precipitation
Forecasts
Through Machine Learning of the Decomposed High- and Low-Frequency Components
🦙
Ollama
Content type:
Academic
sciencedirect.com
·
6d
6 days ago
Actions for Improving Precipitation Forecasts Through Machine Learning of the Decomposed High- and Low-Frequency Components
Generate Synthetic
Time
Series
Data in InfluxDB 3
📊
Profiling
Content type:
Blog
influxdata.com
·
21h
21 hours ago
Actions for Generate Synthetic Time Series Data in InfluxDB 3
Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for
time
series
. Spotlight at FMSD @ ICML 2026.
🦙
Ollama
Content type:
Code
github.com
·
2d
2 days ago
·
Hacker News
Actions for Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.
A new method for augmenting short
time
series
, with application to pain events in sickle cell disease
📊
Information Theory
journals.plos.org
·
15h
15 hours ago
Actions for A new method for augmenting short time series, with application to pain events in sickle cell disease
New comment by monishes in "Ask HN: Who wants to be hired? (June 2026)"
🗄️
Databases
Content type:
Discussion
news.ycombinator.com
·
1d
1 day ago
·
Hacker News
Actions for New comment by monishes in "Ask HN: Who wants to be hired? (June 2026)"
Why Postgres TOAST does almost nothing for
time-series
, and what TimescaleDB does instead (disclosure: my company blog)
🐘
PostgreSQL
roszigit.com
·
3d
3 days ago
·
r/PostgreSQL
Actions for Why Postgres TOAST does almost nothing for time-series, and what TimescaleDB does instead (disclosure: my company blog)
Novel
forecasting
model
developed to predict river temperature
🔄
Systems Thinking
phys.org
·
1d
1 day ago
Actions for Novel forecasting model developed to predict river temperature
Organic transistor unites memory,
signal
processing
and light emission below 3.5 V
🔌
ESP32
techxplore.com
·
4d
4 days ago
Actions for Organic transistor unites memory, signal processing and light emission below 3.5 V
An all-optical
signal
processor
enabling terabit-per-second
real-time
equalization
🗄️
Database Sharding
science.org
·
1d
1 day ago
Actions for An all-optical signal processor enabling terabit-per-second real-time equalization
From Prediction to Intervention: How AI Is Reshaping Student Success at Excelsior University
🔄
Systems Thinking
Content type:
Academic
excelsior.edu
·
2d
2 days ago
Actions for From Prediction to Intervention: How AI Is Reshaping Student Success at Excelsior University
Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave
Signal
Processing
and In‐Memory Matrix Multiplication
🗄️
Database Sharding
advanced.onlinelibrary.wiley.com
·
6d
6 days ago
Actions for Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication
How Elasticsearch cut metrics storage by 41% by dropping sequence numbers after replication
🗂️
Data Structures
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for How Elasticsearch cut metrics storage by 41% by dropping sequence numbers after replication
Soundgarden’s Matt Cameron Plays Bad Omens’ “Just Pretend” as He Hears It for First
Time
: Watch
🌐
Web Development
consequence.net
·
2d
2 days ago
Actions for Soundgarden’s Matt Cameron Plays Bad Omens’ “Just Pretend” as He Hears It for First Time: Watch
scMTG reconstructs single-cell temporal dynamics with Markov transition generators
🎲
Procedural Generation
Content type:
Academic
biorxiv.org
·
5d
5 days ago
Actions for scMTG reconstructs single-cell temporal dynamics with Markov transition generators
State-Space
Models
— The Unifying Formalism for
Time
Series
🧠
Memory Models
Content type:
Blog
grahamjroy.medium.com
·
1d
1 day ago
Actions for State-Space Models — The Unifying Formalism for Time Series
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