A little competition improves statistics
Mar 6, 2023
A competition on spatial statistics showcases the global state of the art in analyzing vast spatial datasets.
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Results for Statistics
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Better models show how infectious diseases spread
Jan 30, 2023
A new disease model that can account for contact patterns between age groups shows how infectious diseases evolve in space and time and how to predict future case numbers across a region.
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A skewed model for imbalanced health data
Nov 7, 2022
An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
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Deep neural networks that “get” spatial dependence
Nov 6, 2022
A deep-learning technique could offer accurate large-scale predictions in the field of geospatial statistics.
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Following the wind
Sep 6, 2022
How pollutants disperse in the atmosphere can be modeled more reliably using a physically based geostatistical framework.
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A model for millions of locations
Aug 7, 2022
A faster and more statistically accurate modeling scheme enables better prediction of climate and environmental conditions at very large scales.
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Extreme analysis of seizures
Jun 20, 2022
The statistics of extreme events helps to better understand epileptic seizures.
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Finding Terra Incognita
Apr 26, 2022
New insights narrow the gap between large-scale atmospheric models and microscale features of atmospheric winds.
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Can machine learning help predict disease spread?
Apr 17, 2022
Machine learning techniques used to analyze case data show promise for predicting the evolution of an epidemic.
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Getting the tail straight
Feb 13, 2022
A corrected description of the "tail dependence" for extreme events leads to a better statistical model for environmental data.
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Competition sheds light on approximation methods for large spatial datasets
Jan 19, 2022
Comparing different approximation methods for analyzing large spatial datasets allows for a better understanding of when these methods become insufficient.
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Decrypting the interdependence of cryptocurrencies
Jan 13, 2022
The statistics of extreme events reveal that cryptocurrency prices tend to fall in tandem but rise more independently.
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Getting to the bottom of deadly weather
Jan 5, 2022
Cold still causes far more deaths than heat in India.
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Finding true protein hotspots in cancer research
Dec 8, 2021
Novel statistical methods help tell the difference between "false positives" and true detections of protein domain hotspots that could be linked to cancer.
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Deeper defense against cyber attacks
Nov 23, 2021
Stacked deep learning offers a better way to detect hacking into industrial control systems.
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Heatwave model shows it is hotter in more places, more often
Sep 12, 2021
New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.
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Beating the curse of dimensionality
Aug 15, 2021
A partial matching approach can overcome the dimensionality "curse" of continuous measurements over time to yield more accurate future predictions.
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Trio of tuning tools for modeling large spatial datasets
Aug 12, 2021
Statistical tools help fine-tune the parameters and approximations of models used to make sense of large spatial datasets.
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Mixing precision for model acceleration
Jul 26, 2021
A mixed-precision approach for modeling large geospatial datasets can achieve benchmark accuracy with a fraction of the computational run time.
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A brainwave from social networks
Apr 14, 2021
The statistics used to understand social networks reveal the diversity of functional connections in the brain.
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Predicting future hotspots in the Red Sea
Apr 8, 2021
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
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Getting the inside track on street design
Mar 29, 2021
Large-scale analysis of pedestrian data from three European cities examines how building density and street design influence pedestrian behavior.
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Modeling rainfall drop by drop
Dec 20, 2020
A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
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Modeling the neighborhood boosts landslide prediction
Dec 10, 2020
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
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Deep learning in the emergency department
Nov 22, 2020
Harnessing the power of deep learning leads to better predictions of patient admissions and flow in emergency departments.
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Wind forecasts power up for reliable energy production
Sep 27, 2020
Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia’s wind energy potential.
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Blueprint may power up KSA's wind energy future
Jul 23, 2020
High-resolution analysis of wind speed across Saudi Arabia can help fast track the expansion of the Kingdom’s emerging world-class wind energy industry.
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A sharper view of flood risk
Jun 7, 2020
Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets.
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Making sense of abnormal data science
Apr 21, 2020
Transforming spatial statistics to capture the skewness and tail of the statistical distribution gives a clearer picture of weather and climate data.
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Pop stats for big geodata
Feb 24, 2020
A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.
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A second wind for turbine design
Dec 8, 2019
Better prediction of extreme winds at sparsely observed locations could help optimize the design of wind farms.
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Shaking up the landslide model
Oct 23, 2019
Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
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Expanding the scale of dangerous weather prediction
Sep 29, 2019
A more accurate and efficient method of capturing the local factors that lead to extreme rainfall enables better flood prediction across larger regions.
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Honing in on hotspots in spatial data
Sep 15, 2019
More accurate detection of hotspot clusters provides new insights into the behavior of air pollution.
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Statistics plot pollution to inform policy
Aug 18, 2019
The spatial variation in different air pollution components helps identify possible targets for pollution control.
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Epilepsy study shows the shape of things to come
Jul 21, 2019
Pyramidal graphs resulting from statistical analyses of EEG recordings can improve our understanding of epileptic seizures.
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Taking aim at outliers
May 5, 2019
Automatic detection of uncharacteristic data sequences could change the way data is processed and analyzed.
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Clustering helps unlock secrets of the human brain
Mar 31, 2019
The latest statistical methods from research on complex high-dimensional environmental data also yield powerful tools for interpreting brain activity.
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Chasing spatial patterns
Dec 2, 2018
A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change.
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New stats apps show a virtual reality
Nov 5, 2018
Harnessing the power of virtual reality will help to visualize data and improve statistical models.
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Making collective sense of brainwaves
Oct 31, 2018
A new statistical tool for collectively analyzing large sets of brainwaves promises to accelerate neurofunctional research.
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Stimulating deeper insights into brain function
Oct 18, 2018
Modeling changes in brain activity over time provides deeper insights into learning and behavioral responses.
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Reining in computational complexity
Oct 2, 2018
A more efficient approach to modeling spatial data involving thousands of variables keeps computation time in check.
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Solving real-world problems
Sep 19, 2018
A tool developed by Håvard Rue has transformed data analysis, interpretation and communication. It has been applied broadly: from modeling the spread of infectious diseases to mapping fish stocks.
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How extreme weather exacerbates air pollution
Sep 4, 2018
Simultaneously modeling air pollutants and weather under extreme conditions highlights the potential for serious health risks.
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Searching for wind for the future
Jul 15, 2018
The first quantification of wind energy in Saudi Arabia points to high wind power potential for many decades to come.
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Point patterns help to predict landslides
May 20, 2018
Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
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Connecting the dots to unlock brain structure
May 13, 2018
Mapping genetic influences on connections between neural networks could lead to a better understanding of brain organization and behavior.
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Zooming in on brain function
Mar 18, 2018
Faster computations will allow researchers to see the finer details of brain activity in functional brain imaging.
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Challenging statistics of weather extremes
Feb 25, 2018
More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation.
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Pulling rank on spatial statistics
Feb 18, 2018
A technique that uses the power of computing could solve statistical problems cheaper and faster than current methods.
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Making data more accessible
Feb 11, 2018
Ying Sun is a multi-award-winning statistician who is inspired by the value of statistics in solving real-world problems.
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Revealing hidden relationships in data
Jan 28, 2018
A method to visualize hidden statistical structure helps make sense of environmental data.
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Modeling where the wind blows
Jan 7, 2018
A new statistical technique could be used to more accurately locate global wind resources.
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One bad apple can spoil a robot swarm
Jan 1, 2018
Coordinated robot swarms can achieve amazing feats, but even a single faulty unit can have serious consequences.
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Simple statistics can be good enough
Nov 5, 2017
Study of the mismatch between spatial environmental data and a commonly used statistical analysis suggests simpler statistics are sufficient in many cases.
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Cutting datasets down to size
Oct 29, 2017
A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.
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Dataset size counts for better predictions
Oct 8, 2017
A statistical technique for modeling large datasets improves interpretation of climate and environmental data.
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Letting the data speak for itself
Sep 3, 2017
A new statistical approach for environmental measurements lets the data determine how to model extreme events.
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Going to extremes to predict natural disasters
Jul 8, 2017
A systematic approach to selecting and configuring statistical models improves predictions of extreme events.
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Smart healthcare uses stats to spot a stumble
Apr 15, 2017
Statistical monitoring technology can detect serious falls and immediately warn healthcare providers.
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Improving connections for spatial analysis
Mar 4, 2017
A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels.
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A safe sweep of weather data
Feb 25, 2017
A statistical technique for automatically cleaning erroneous data from weather-balloon observations will improve the accuracy of weather forecasting.
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Keeping antennas at peak performance
Jan 28, 2017
Sensitive detection of partial faults in antenna systems could prevent performance degradation in wireless networks.
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Getting the jump on industrial failures
Nov 26, 2016
A statistics-driven method for the early detection of emerging problems in industrial processes could improve industrial safety, reliability and productivity.
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Making space for climate simulations
Jul 23, 2016
A statistics-based data compression scheme cuts data storage requirements for large-scale climate simulations by as much as 98 percent.
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Getting a handle on extremes
Jun 18, 2016
A statistical model that accurately describes rainfall at both extremes opens the way for more reliable predictions of flood and drought risk.
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A clearer view of rainfall patterns
Apr 30, 2016
Improved random modeling allows scientists to generate realistic patterns of high-frequency rainfall.
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Feeding in the moonlight
Apr 16, 2016
Consistent around the world's ocean, the phases of the moon affect the upward migration of the world’s most abundant type of fish for feeding.
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Brain waves in boxes
Oct 3, 2015
A statistical method helps to identify abnormal signals in electroencephalograms and locate their source in the brain.
