gsaot: an R package for Optimal Transport-based sensitivity analysis | Paper Citation Record

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This paper cites an unresolved cited work.

gsaot: an R package for Optimal Transport-based sensitivity analysis Unresolved cited work

Reference 1

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Observation b79d8f2a-fcdd-4b0f-b716-b05ad0e140df · outbound

This paper cites Uncertainty in Climate Change Modeling : Can Global Sensitivity Analysis Be of Help ? Risk Analysis, 34(2), 271--293.

gsaot: an R package for Optimal Transport-based sensitivity analysis Uncertainty in Climate Change Modeling : Can Global Sensitivity Analysis Be of Help ? Risk Analysis, 34(2), 271--293

Reference 2

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This paper cites Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package.

gsaot: an R package for Optimal Transport-based sensitivity analysis Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package

Reference 3

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Observation 06088bbd-6a3c-45d0-b717-c795eacdaffb · outbound

This paper cites OpenTURNS : An Industrial Software for Uncertainty Quantification in Simulation , pp.

gsaot: an R package for Optimal Transport-based sensitivity analysis OpenTURNS : An Industrial Software for Uncertainty Quantification in Simulation , pp

Reference 4

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This paper cites A Unifying Framework for Parallel and Distributed Processing in R using Futures.

gsaot: an R package for Optimal Transport-based sensitivity analysis A Unifying Framework for Parallel and Distributed Processing in R using Futures

Reference 5

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This paper cites multisensi : Multivariate Sensitivity Analysis.

gsaot: an R package for Optimal Transport-based sensitivity analysis multisensi : Multivariate Sensitivity Analysis

Reference 6

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This paper cites Displacement Interpolation Using Lagrangian Mass Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis Displacement Interpolation Using Lagrangian Mass Transport

Reference 7

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Observation 7a10a24a-d546-4018-87ca-8ed3b128c01b · outbound

This paper cites A new uncertainty importance measure.

gsaot: an R package for Optimal Transport-based sensitivity analysis A new uncertainty importance measure

Reference 8

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Observation 8cb167ea-8218-4bbf-977d-5e748a184a51 · outbound

This paper cites Convexity and Measures of Statistical Association.

gsaot: an R package for Optimal Transport-based sensitivity analysis Convexity and Measures of Statistical Association

Reference 9

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Observation 31498751-f7f9-4cc1-a7eb-bb5583a49ce9 · outbound

This paper cites Global Sensitivity Analysis via Optimal Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis Global Sensitivity Analysis via Optimal Transport

Reference 10

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Observation 8aa9bfd8-64d0-4200-9a70-eb873fe944d9 · outbound

This paper cites A Common Rationale for Global Sensitivity Measures and Their Estimation.

gsaot: an R package for Optimal Transport-based sensitivity analysis A Common Rationale for Global Sensitivity Measures and Their Estimation

Reference 11

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Observation ce6ad80f-d803-450c-aff3-b89252a03e76 · outbound

This paper cites Convergence rate of general entropic optimal transport costs.

gsaot: an R package for Optimal Transport-based sensitivity analysis Convergence rate of general entropic optimal transport costs

Reference 12

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Observation c1380647-a44a-4c13-9eef-77a467adaf64 · outbound

This paper cites A New Coefficient of Correlation.

gsaot: an R package for Optimal Transport-based sensitivity analysis A New Coefficient of Correlation

Reference 13

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This paper cites XICOR : Robust and generalized correlation coefficients.

gsaot: an R package for Optimal Transport-based sensitivity analysis XICOR : Robust and generalized correlation coefficients

Reference 14

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Observation 2c4136a2-f186-4e97-a2cd-9b3661e398f2 · outbound

This paper cites Sinkhorn Distances : Lightspeed Computation of Optimal Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis Sinkhorn Distances : Lightspeed Computation of Optimal Transport

Reference 15

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Observation fa697ca1-22b8-4842-826c-4c5a4ebd9502 · outbound

This paper cites Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.

gsaot: an R package for Optimal Transport-based sensitivity analysis Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Reference 16

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Observation e10208e7-a16c-4e4d-b7b0-4c0fe077716a · outbound

This paper cites Measuring Association on Topological Spaces Using Kernels and Geometric Graphs.

gsaot: an R package for Optimal Transport-based sensitivity analysis Measuring Association on Topological Spaces Using Kernels and Geometric Graphs

Reference 17

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Observation 9e10328d-c9e4-4416-aa7a-63c13e777473 · outbound

This paper cites approxOT : approximate optimal transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis approxOT : approximate optimal transport

Reference 18

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Observation 9000967c-79b5-4042-8ec0-3b910d306936 · outbound

This paper cites Rcpp : Seamless R and C++ Integration.

gsaot: an R package for Optimal Transport-based sensitivity analysis Rcpp : Seamless R and C++ Integration

Reference 19

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Observation 34ae863b-93bc-4e03-a4b5-a61df3688188 · outbound

This paper cites An Invitation to Optimal Transport , Wasserstein Distances , and Gradient Flows.

gsaot: an R package for Optimal Transport-based sensitivity analysis An Invitation to Optimal Transport , Wasserstein Distances , and Gradient Flows

Reference 20

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Observation 2b6981ab-d245-4d34-8676-79da7133225d · outbound

This paper cites POT : Python Optimal Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis POT : Python Optimal Transport

Reference 21

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Observation c9031968-62d8-4233-bb45-cdd4582f2a97 · outbound

This paper cites Sensitivity Analysis for Multidimensional and Functional Outputs.

gsaot: an R package for Optimal Transport-based sensitivity analysis Sensitivity Analysis for Multidimensional and Functional Outputs

Reference 22

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Observation 4db0f2b3-6c79-437f-b0fa-3c2ab7d489c6 · outbound

This paper cites On a Formula for the L2 Wasserstein Metric between Measures on Euclidean and Hilbert Spaces.

gsaot: an R package for Optimal Transport-based sensitivity analysis On a Formula for the L2 Wasserstein Metric between Measures on Euclidean and Hilbert Spaces

Reference 23

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Observation 87056457-0748-4def-ae0b-c204019c622a · outbound

This paper cites The Shortlist Method for Fast Computation of the Earth Mover 's Distance and Finding Optimal Solutions to Transportation Problems.

gsaot: an R package for Optimal Transport-based sensitivity analysis The Shortlist Method for Fast Computation of the Earth Mover 's Distance and Finding Optimal Solutions to Transportation Problems

Reference 24

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Observation 2cd138f2-773e-4d39-ac39-b6369918031b · outbound

This paper cites SALib : An open-source Python library for Sensitivity Analysis.

gsaot: an R package for Optimal Transport-based sensitivity analysis SALib : An open-source Python library for Sensitivity Analysis

Reference 25

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This paper cites sensitivity : Global Sensitivity Analysis of Model Outputs.

gsaot: an R package for Optimal Transport-based sensitivity analysis sensitivity : Global Sensitivity Analysis of Model Outputs

Reference 26

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Observation 712e81a7-d784-45a2-aff0-4a10c3eb0ca2 · outbound

This paper cites Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses.

gsaot: an R package for Optimal Transport-based sensitivity analysis Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses

Reference 27

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Observation 5ea00ccf-f49d-4aea-bccc-ef6ba413b53f · outbound

This paper cites Entropic Optimal Transport between Unbalanced Gaussian Measures Has a Closed Form.

gsaot: an R package for Optimal Transport-based sensitivity analysis Entropic Optimal Transport between Unbalanced Gaussian Measures Has a Closed Form

Reference 28

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Observation 940c704b-7af1-43b2-9adc-795e59c4bc93 · outbound

This paper cites Multivariate Sensitivity Analysis to Measure Global Contribution of Input Factors in Dynamic Models.

gsaot: an R package for Optimal Transport-based sensitivity analysis Multivariate Sensitivity Analysis to Measure Global Contribution of Input Factors in Dynamic Models

Reference 29

Resolution: verified exact; doi, observed 2026-08-15T18:15:50.047844Z

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Observation cedf4252-d147-4652-8dda-91c2cc785bb7 · outbound

This paper cites Qualitative Analysis of Insect Outbreak Systems: The Spruce Budworm and Forest.

gsaot: an R package for Optimal Transport-based sensitivity analysis Qualitative Analysis of Insect Outbreak Systems: The Spruce Budworm and Forest

Reference 30

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Observation 5018daba-adfa-425d-9c91-fb2d3dd4423f · outbound

This paper cites Linear and Nonlinear Programming , volume 228 of International Series in Operations Research & Management Science.

gsaot: an R package for Optimal Transport-based sensitivity analysis Linear and Nonlinear Programming , volume 228 of International Series in Operations Research & Management Science

Reference 31

Resolution: verified exact; doi, observed 2026-08-15T18:15:50.035667Z

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Observation 2f1cfb43-688e-43ab-8a9e-f969b6ff95cf · outbound

This paper cites UQLab : A Framework for Uncertainty Quantification in MATLAB.

gsaot: an R package for Optimal Transport-based sensitivity analysis UQLab : A Framework for Uncertainty Quantification in MATLAB

Reference 32

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This paper cites Four Simple Axioms of Dependence Measures.

gsaot: an R package for Optimal Transport-based sensitivity analysis Four Simple Axioms of Dependence Measures

Reference 33

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This paper cites The Earth Mover's Correlation.

gsaot: an R package for Optimal Transport-based sensitivity analysis The Earth Mover's Correlation

Reference 34

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Observation fabbf76f-092a-4140-ac0c-f9dd3a00a693 · outbound

This paper cites Transport Dependency: Optimal Transport Based Dependency Measures.

gsaot: an R package for Optimal Transport-based sensitivity analysis Transport Dependency: Optimal Transport Based Dependency Measures

Reference 35

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This paper cites MATLAB / R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox.

gsaot: an R package for Optimal Transport-based sensitivity analysis MATLAB / R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox

Reference 36

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Observation 8298c657-974c-4b64-a2b3-5e82b5d96a05 · outbound

This paper cites Revisiting the Social Cost of Carbon.

gsaot: an R package for Optimal Transport-based sensitivity analysis Revisiting the Social Cost of Carbon

Reference 37

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Observation 842a1fd1-e9f4-40ab-b554-d92f64846012 · outbound

This paper cites On the General Theory of Skew Correlation and Non-Linear Regression.

gsaot: an R package for Optimal Transport-based sensitivity analysis On the General Theory of Skew Correlation and Non-Linear Regression

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.696186Z

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Observation d0d6e50a-7a34-4d35-a98c-ab1302e26a30 · outbound

This paper cites patchwork : The Composer of Plots.

gsaot: an R package for Optimal Transport-based sensitivity analysis patchwork : The Composer of Plots

Reference 39

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Observation 4a79a2dd-8692-4186-910a-999f845e163a · outbound

This paper cites Computational Optimal Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis Computational Optimal Transport

Reference 40

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Observation 7cdf6271-eb7f-4b76-8b21-6f96cf220c93 · outbound

This paper cites A MATLAB Toolbox for Global Sensitivity Analysis.

gsaot: an R package for Optimal Transport-based sensitivity analysis A MATLAB Toolbox for Global Sensitivity Analysis

Reference 41

Resolution: verified exact; doi, observed 2026-08-15T18:15:49.953345Z

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Observation 91e0a483-0bca-4f5e-9c63-1c0846c097b9 · outbound

This paper cites A simple and efficient method for global sensitivity analysis based on cumulative distribution functions.

gsaot: an R package for Optimal Transport-based sensitivity analysis A simple and efficient method for global sensitivity analysis based on cumulative distribution functions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.672577Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1c85bbc-3efc-43f7-a43d-d2d000e33a3d · outbound

This paper cites sensobol : An R Package to Compute Variance-Based Sensitivity Indices.

gsaot: an R package for Optimal Transport-based sensitivity analysis sensobol : An R Package to Compute Variance-Based Sensitivity Indices

Reference 43

Resolution: verified exact; doi, observed 2026-08-15T18:15:49.939562Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90ef2852-31cd-4944-8690-391b46cd2622 · outbound

This paper cites The Future of Sensitivity Analysis : An Essential Discipline for Systems Modeling and Policy Support.

gsaot: an R package for Optimal Transport-based sensitivity analysis The Future of Sensitivity Analysis : An Essential Discipline for Systems Modeling and Policy Support

Reference 44

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This paper cites On Measures of Dependence.

gsaot: an R package for Optimal Transport-based sensitivity analysis On Measures of Dependence

Reference 45

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This paper cites Detecting novel associations in large data sets.

gsaot: an R package for Optimal Transport-based sensitivity analysis Detecting novel associations in large data sets

Reference 46

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Observation c4e14cda-98c8-4944-aeca-1e88839d882b · outbound

This paper cites Global Sensitivity Analysis : The Primer.

gsaot: an R package for Optimal Transport-based sensitivity analysis Global Sensitivity Analysis : The Primer

Reference 47

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Observation 66670732-727b-4f81-90e2-f7578bc0ed0a · outbound

This paper cites Optimal Transport for Applied Mathematicians.

gsaot: an R package for Optimal Transport-based sensitivity analysis Optimal Transport for Applied Mathematicians

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.634599Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11952e11-4d0c-4967-bf1d-edbd0f1f1489 · outbound

This paper cites Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems.

gsaot: an R package for Optimal Transport-based sensitivity analysis Stabilized Sparse Scaling Algorithms for Entropy Regularized Transport Problems

Reference 49

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Observation b2b7d166-1aef-4329-b728-bc7375a5e856 · outbound

This paper cites transport : Computation of Optimal Transport Plans and Wasserstein Distances.

gsaot: an R package for Optimal Transport-based sensitivity analysis transport : Computation of Optimal Transport Plans and Wasserstein Distances

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.621982Z

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Observation 5d411352-4e43-4e23-907b-6143aa1c0283 · outbound

This paper cites Diagonal Equivalence to Matrices with Prescribed Row and Column Sums.

gsaot: an R package for Optimal Transport-based sensitivity analysis Diagonal Equivalence to Matrices with Prescribed Row and Column Sums

Reference 51

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Observation b29d44b9-603f-4f0f-b24a-5ae6fd26c447 · outbound

This paper cites Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates.

gsaot: an R package for Optimal Transport-based sensitivity analysis Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.609740Z

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Observation 38d75214-71d8-40c3-b3bc-18646707bbbf · outbound

This paper cites Solving Differential Equations in R : Package de S olve.

gsaot: an R package for Optimal Transport-based sensitivity analysis Solving Differential Equations in R : Package de S olve

Reference 53

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This paper cites An efficient method for computing partial expected value of perfect information for correlated inputs.

gsaot: an R package for Optimal Transport-based sensitivity analysis An efficient method for computing partial expected value of perfect information for correlated inputs

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.597427Z

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Observation c8e86230-c70a-423c-a510-ae931c5d1c66 · outbound

This paper cites furrr : Apply Mapping Functions in Parallel using Futures.

gsaot: an R package for Optimal Transport-based sensitivity analysis furrr : Apply Mapping Functions in Parallel using Futures

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:15:50.584321Z

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Observation fd41bd8f-12f0-4e77-b3e8-984d4f1103de · outbound

This paper cites Optimal Transport , volume 338 of Grundlehren Der Mathematischen Wissenschaften.

gsaot: an R package for Optimal Transport-based sensitivity analysis Optimal Transport , volume 338 of Grundlehren Der Mathematischen Wissenschaften

Reference 56

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This paper cites ggplot2 : Elegant Graphics for Data Analysis.

gsaot: an R package for Optimal Transport-based sensitivity analysis ggplot2 : Elegant Graphics for Data Analysis

Reference 57

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This paper cites Measuring Association with Wasserstein Distances.

gsaot: an R package for Optimal Transport-based sensitivity analysis Measuring Association with Wasserstein Distances

Reference 58

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Observation bbad503d-5c12-425f-a2b5-664815c5c0f8 · outbound

This paper cites T4transport : Tools for Computational Optimal Transport.

gsaot: an R package for Optimal Transport-based sensitivity analysis T4transport : Tools for Computational Optimal Transport

Reference 59

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Observation 3dca2a30-e92c-432d-96e6-613bf9177a9a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

gsaot: an R package for Optimal Transport-based sensitivity analysis , " * write output.state after.block = add.period write newline

Reference 60

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This paper cites write newline.

gsaot: an R package for Optimal Transport-based sensitivity analysis write newline

Reference 61

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