Our paper "Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting" with Amal Saadallah just got accepted as a regular paper at IEEE ICDM'23! See you in Shanghai #ieee #icdm #timeseries #explainability #xai #forecasting
#IEEE #icdm #TimeSeries #explainability #xai #forecasting
Ecological times series analysis using STAN and R packages mvgam and berms #bayesian #timeseries #ecology
https://github.com/nicholasjclark/physalia-forecasting-course
#bayesian #TimeSeries #ecology
Quantifying slope movements: Tree trunk tracking using long-range stationary 4D laser scanning point clouds #remotesensing #landslides #timeseries #geomorphology
#remotesensing #landslides #TimeSeries #geomorphology
Using GPS As A Possible Earthquake Predictor
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https://phys.org/news/2023-07-gps-earthquake-predictor.html <-- shared technical article
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https://doi.org/10.1126/science.adg2565 <-- shared paper
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#GIS #spatial #mapping #gischat #GPS #earthquakes #global #timeseries #seismology #prediction #earthquake #earthquakes #naturalhazards #monitoring #spatialanalysis #spatiotemporal #precursor #movement #uplift #subsidence #epicenter #epicentre #GPSnetwork
#gis #spatial #mapping #gischat #gps #earthquakes #global #TimeSeries #seismology #prediction #earthquake #NaturalHazards #monitoring #spatialanalysis #spatiotemporal #precursor #movement #uplift #subsidence #epicenter #epicentre #gpsnetwork
Extremely proud to present my group's pre-print paper executed by my PhD student Mr. Jonas KΓΆhler on #earthquake #forecasting using #deeplearning. We pose earthquake forecasting as a classification problem and train a Neural Network to decide, whether a #timeseries of length greater than 2 years will end in an earthquake on the following day with magnitude greater than 5 or not. The study could be summarised in following three points: 1) We use spatio-temporal b value data, on which we train an #autoencoder to learn the normal seismic behaviour. 2) We then take the pixel by pixel reconstruction error as input for a Convolutional Dilated Network classifier, whose model output could serve for earthquake forecasting. 3) We develop a special progressive training method for this model to mimic real life use. #data #research #ai4good #ai4science #seismology
https://arxiv.org/abs/2307.01812
#earthquake #forecasting #deeplearning #TimeSeries #autoencoder #data #research #ai4good #ai4science #seismology
Open access article led by Lucie Kuczynski shows that caution is required when analysing temporal trends in species richness: net imbalance between colonisation and extinction will bias towards positive slopes as shown by data and neutral simulations. As long as environmental conditions change, the absence of a trend in richness is no good news as it deviates negatively from the expected increase.
https://www.nature.com/articles/s41559-023-02078-w
#biodiversity #monitoring #biodiversitychange #HIFMB #TimeSeries
#biodiversity #monitoring #biodiversitychange #hifmb #TimeSeries
ππ°οΈ Want to conduct your Bayesian time-series analysis using #gretl? π€π¨βπΌ
Look no further than Luca Pedini's talk at the #gretl conference 2023!
#economics #econometrics #BayesianAnalysis #timeseries #gc2023
#gretl #economics #econometrics #bayesiananalysis #TimeSeries #gc2023
ππ Want to conduct multilevel factor models? ππ§
Ioannis Venetis presented at the #gretl conference on principal components-based estimation, including his package "GlobalFactors"! π¨βπ»π‘
#gc2023 #econometrics #economics #econtwitter #timeseries
DOC: https://gretl.sourceforge.net/current_fnfiles/unzipped/GlobalFactors.gfn
#gretl #gc2023 #econometrics #economics #econtwitter #TimeSeries
Marco Tedeschi from Ancona University presented an innovative time-varying parameter panel model, estimated with #gretl, on Day 1.
Topic: Geopolitical risks and interactions with commodity prices.
#gretl #TimeSeries #economics #econometrics #gc2023 #econtwitter
Exciting research from Marco G. Ercolani at University of Birmingham comparing VECM #cointegration estimates across software packages.
A fascinating study that sheds light on the challenges of #timeseries modeling in econometric research.
#cointegration #TimeSeries #econometrics #economics #econtwitter #gretl #gc2023
ππ°οΈ Want to conduct your Bayesian time-series analysis using #gretl? π€π¨βπΌ
Look no further than Luca Pedini's talk at the #gretl conference 2023!
#economics #econometrics #BayesianAnalysis #timeseries #gc2023
#gretl #economics #econometrics #bayesiananalysis #TimeSeries #gc2023
Exciting research from Marco G. Ercolani at University of Birmingham comparing VECM #cointegration estimates across software packages.
A fascinating study that sheds light on the challenges of #timeseries modeling in econometric research.
#cointegration #TimeSeries #econometrics #economics #econtwitter #gretl #gc2023 #gc23
Brilliant insights on "Modelling financial #timeseries with multiplicative errors" from Giampioro M. Gallo at #NYU Florence.
A captivating keynote presentation that perfectly blends theory and application.
#econometrics #economics #financialmodelling #econtwitter #gc23
#TimeSeries #NYU #econometrics #economics #financialmodelling #econtwitter #gc23
Access data in Amazon Timestream with AWS AppSync π Using direct REST API via the endpoint discovery pattern π https://aws.amazon.com/blogs/mobile/access-data-in-amazon-timestream-with-aws-appsync/ #AWS #TimeSeries #GraphQL
Amazon Timestream now supports Customer Defined Partition Keys π You have now additional flexibility to partition data based on your needs, for instance, to optimize data collocation for lower query latency https://aws.amazon.com/about-aws/whats-new/2023/06/amazon-timestream-customer-defined-partition-keys/ #AWS #Analytics #TimeSeries #Database
#aws #analytics #TimeSeries #database
This is super useful π Amazon Timestream now supports unloading data to Amazon S3 π https://aws.amazon.com/about-aws/whats-new/2023/05/amazon-timestream-unloading-data-amazon-s3/ #AWS #Analytics #TimeSeries #Database
#aws #analytics #TimeSeries #database
Let's say I have a bunch of #TimeSeries data events (home, power, temperature,β¦), what's a good place to put them? Is there a cheap managed service or will I need to set up some sort of #Timescale, #Grafana thing myself?
#TimeSeries #timescale #grafana
πΏπ Excited to announce our new course on Ecological Time-series analysis & forecasting in R with Dr Nicholas J Clark! π
Learn to wrangle, visualize, & analyze ecological data with {mvgam} & {brms} packages.
Check it out:https://physalia-courses.org/courses-workshops/time-series-in-r/
#TimeSeries #datascience #rstats
RT @EconMetrics
Testing for the appropriate level of clustering in linear regression models https://ift.tt/5zFjTbU #econometrics #timeseries
Amundi research paper #TransformerModel #timeseries #forecasting
https://research-center.amundi.com/article/time-series-forecasting-transformer-models-and-application-asset-management
#transformermodel #TimeSeries #forecasting