Search Results - "Mertens, Ulf"

lab.js: A free, open, online study builder by Henninger, Felix, Shevchenko, Yury, Mertens, Ulf K., Kieslich, Pascal J., Hilbig, Benjamin E.

“…Web-based data collection is increasingly popular in both experimental and survey-based research because it is flexible, efficient, and location-independent…”
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BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks by Radev, Stefan T., Mertens, Ulf K., Voss, Andreas, Ardizzone, Lynton, Kothe, Ullrich

“…Estimating the parameters of mathematical models is a common problem in almost all branches of science. However, this problem can prove notably difficult when…”
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On the difficulty to think in ratios: a methodological bias in Stevens’ magnitude estimation procedure by Mertens, Alica, Mertens, Ulf K., Lerche, Veronika

“…In the field of new psychophysics, the magnitude estimation procedure is one of the most frequently used methods. It requires participants to assess the…”
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ABrox-A user-friendly Python module for approximate Bayesian computation with a focus on model comparison by Mertens, Ulf Kai, Voss, Andreas, Radev, Stefan

“…We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free…”
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Estimating Reliability of Within-Person Couplings in a Multilevel Framework by Neubauer, Andreas B., Voelkle, Manuel C., Voss, Andreas, Mertens, Ulf K.

“…Within-person couplings play a prominent role in psychological research and previous studies have shown that interindividual differences in within-person…”
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Amortized Bayesian Model Comparison With Evidential Deep Learning by Radev, Stefan T., D'Alessandro, Marco, Mertens, Ulf K., Voss, Andreas, Kothe, Ullrich, Burkner, Paul-Christian

“…Comparing competing mathematical models of complex processes is a shared goal among many branches of science. The Bayesian probabilistic framework offers a…”
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Towards end‐to‐end likelihood‐free inference with convolutional neural networks by Radev, Stefan T., Mertens, Ulf K., Voss, Andreas, Köthe, Ullrich

“…Complex simulator‐based models with non‐standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We…”
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Effect on healthcare utilization and costs of spinal manual therapy for acute low back pain in routine care: A propensity score matched cohort study by Walker, Jochen, Mertens, Ulf Kai, Schmidt, Carsten Oliver, Chenot, Jean-François

“…Spinal manual therapy (SMT) is a popular treatment option for low back pain (LBP). The aim of our analysis was to evaluate the effects of manual therapy…”
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Sequential sampling models with variable boundaries and non-normal noise: A comparison of six models by Voss, Andreas, Lerche, Veronika, Mertens, Ulf, Voss, Jochen

“…One of the most prominent response-time models in cognitive psychology is the diffusion model, which assumes that decision-making is based on a continuous…”
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Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis by van Assen, Marcel A.L.M., Liu, Yang, Heer, Jeffrey, Mohamed, Zainab, Amireh, Hashem, Venkatesh Prasad, Vaishali, Bernstein, Abraham, Snellman, Kaisa, Madan, Nikhil, Silberzahn, Raphael, Murase, Toshio, Mandl, Benjamin, Kelchtermans, Stijn, Naseeb, Chan, Richard Chan, C.S., Adie, Prestone, Alspaugh, Sara, Alstott, Jeff, Ariño de la Rubia, Eduardo, Arzi, Adbi, Bahník, Štěpán, Baik, Jason, Banker, Sachin, Barros-Rivera, Brenda, Briers, Robert A., Castrillo, Laura, Catlett, Timothy, Chen, Olivia, Cohn, Brent, Cugueró-Escofet, Natàlia, Cyrus-Lai, Wilson, Danielsson, Henrik, Russo, Rosaria de F.S.M., de Silva, Niko, Dondelinger, Frank, Duarte de Souza, Carolina, Tyson Dube, B., Dubova, Marina, Mark Dunn, Ben, Fox, Nick, Gnambs, Timo, Gong, Yuanyuan, Greenawalt, Brandon, Han, Dan, Hong, Antony B., Huang, Lilian, Hui, Kent N., Hultman, Keith A., Kamdar, Jash, Kappler, Gregor, Kaszubowski, Erikson, Kleinberg, Bennett, Lavbič, Dejan, Liverani, Silvia, Loh, Bianca, MacDonald, Kyle, Madan, Christopher R., Hjorth Madsen, Lasse, Maimone, Christina, Marshall, Adrienne, Ester Matskewich, Helena, Mavon, Kimia, McLain, Katherine L., Mertens, Ulf, Moore, Ben, Moore, Andrew, Nantz, Eric, Nasrullah, Ziauddin, Nejkovic, Valentina, Nell, Colleen S, Arthur Nelson, Andrew, Nilsonne, Gustav, Nolan, Rory, O'Brien, Christopher E., O'Shea, Kieran, Palsetia, Diana, Protzko, John, Riddle, Travis, Rosenberg, Joshua M., Schulte-Mecklenbeck, Michael, Sharma, Nirek, Shotwell, Gordon, Stedden, William, Stodden, Victoria, Stoltzman, Scott, Subbaiah, Subashini, Tatman, Rachael, Thibodeau, Paul H., Tomkins, Sabina, Duncan Wadsworth, W., Wanders, Florian, Watts, Krista, Whelpley, Christopher E., Won, Andy, Wu, Lawrence, Yip, Arthur, Youngflesh, Casey, Zhang, Leilei, Zibman, Chava, Luis Uhlmann, Eric

“…•A new platform (DataExplained) helps analysts justify preferred and rejected analytical paths in real time.•Independent analysts used DataExplained to test…”
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Amortized Bayesian model comparison with evidential deep learning by Radev, Stefan T, D'Alessandro, Marco, Mertens, Ulf K, Voss, Andreas, Köthe, Ullrich, Bürkner, Paul-Christian

“…Comparing competing mathematical models of complex natural processes is a shared goal among many branches of science. The Bayesian probabilistic framework…”
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BayesFlow: Learning complex stochastic models with invertible neural networks by Radev, Stefan T, Mertens, Ulf K, Voss, Andreas, Ardizzone, Lynton, Köthe, Ullrich

“…Estimating the parameters of mathematical models is a common problem in almost all branches of science. However, this problem can prove notably difficult when…”
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