Pinned Repositories
binsreg
Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
climate-and-dynamical-systems
cphy
Class materials for computational physics course
CUMULO
a benchmark dataset for training and evaluating global cloud classification models.
delta-MAPS
δ-MAPS is a method that identifies the semi-autonomous components of a spatio-temporal system and studies their weighted and potentially lagged interactions. The semi-autonomous components of the system are modeled as spatially contiguous, possibly overlapping, functionally homogeneous domains. To the best of our knowledge, δ-MAPS is the first method that can identify spatially contiguous and possibly overlapping clusters (i.e., domains). At a second step, δ-MAPS infers a directed and weighted network between the identified domains. Edge direction captures the temporal ordering of events while the weight associated to each edge captures the magnitude of interaction between domains.
Linear-Response-and-Causal-Inference
Inferring causality through linear response theory
NonLinear_TimeSeries_Analysis
py-dMaps
d-Maps goes into Python mode.
Quantiles-and-Moments
FabriFalasca's Repositories
FabriFalasca/delta-MAPS
δ-MAPS is a method that identifies the semi-autonomous components of a spatio-temporal system and studies their weighted and potentially lagged interactions. The semi-autonomous components of the system are modeled as spatially contiguous, possibly overlapping, functionally homogeneous domains. To the best of our knowledge, δ-MAPS is the first method that can identify spatially contiguous and possibly overlapping clusters (i.e., domains). At a second step, δ-MAPS infers a directed and weighted network between the identified domains. Edge direction captures the temporal ordering of events while the weight associated to each edge captures the magnitude of interaction between domains.
FabriFalasca/py-dMaps
d-Maps goes into Python mode.
FabriFalasca/NonLinear_TimeSeries_Analysis
FabriFalasca/climate-and-dynamical-systems
FabriFalasca/Linear-Response-and-Causal-Inference
Inferring causality through linear response theory
FabriFalasca/binsreg
Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
FabriFalasca/cphy
Class materials for computational physics course
FabriFalasca/CUMULO
a benchmark dataset for training and evaluating global cloud classification models.
FabriFalasca/Quantiles-and-Moments