Computational Statistics in Data Science - Группа авторов

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5 Architecture of an autoencoder.Figure 6 Architecture of variational autoencoder (VAE).Figure 7 Feedforward network.Figure 8 Architecture of recurrent neural network (RNN).Figure 9 Architecture of long short‐term memory network (LSTM).

      3 Chapter 4Figure 1 Taxonomy of concept drift in data stream.

      4 Chapter 5Figure 1 Histograms of simulated boxes and mean number of boxes for two Mont...Figure 2 Estimated risk at

(a) and at
(b) with pointwise Bonferroni corr...Figure 3 Estimated density of the marginal posterior for
from an initial r...Figure 4 Estimated autocorrelations for nonlinchpin sampler (a) and linchpin...

      5 Chapter 7Figure 1 Importance sampling with importance distribution of an exponential Figure 2 Failed simulation of a Student's

distribution with mean
when si...Figure 3 Recovery of a Normal
distribution when simulating
realizations ...Figure 4 Histogram of
simulations of a
distribution with the target dens...Figure 5 (a) Histogram of
iterations of a slice sampler with a Normal
ta...Figure 6 100 last moves of the above slice sampler.Figure 7 Independent Metropolis sequence with a proposal
equal to the dens...Figure 8 Fit of a Metropolis sample of size
to a target when using a trunc...Figure 9 Graph of a truncated Normal density and fit by the histogram of an ...

      6 Chapter 9Figure 1 Graphical description of three possible dependencies between the ad...

      7 Chapter 12Figure 1 Decision tree for headache data.Figure 2 RFIT analysis of the headache data: (a) Estimated ITE with SE error...Figure 3 Exploring important effect moderators in the headache data: (a) Var...Figure 4 Comparison of MSE averaged over 1000 interaction trees using method...

      8 Chapter 13Figure 1 The metabolite–microbe interaction network. Only edges linking a me...Figure 2 Scatter plots of microbe and metabolite pairs.

      9 Chapter 14Figure 1 An example of first‐, second‐, and third‐order tensors.Figure 2 Tensor fibers, unfolding and vectorization.Figure 3 An example of magnetic resonance imaging. The image is obtained fro...Figure 4 A third‐order tensor with a checkerbox structure.Figure 5 A schematic illustration of the low‐rank tensor clustering method....Figure 6 The tensor formulation of multidimensional advertising decisions.Figure 7 Illustration of the tensor‐based CNN compression from Kossaifi et a...

      10 Chapter 15Figure 1 A Bayesian tree.Figure 2 The Boston housing data was compiled from the 1970 US Census, where...Figure 3 The distribution of

and the sparse Dirichlet prior [16]. The key ...

      11 Chapter 16Figure 1 LASSO and nonconvex penalties: both SCAD and MCP do not penalize th...

      12 Chapter 17Figure 1 Hierarchy‐preserving solution paths by RAMP. (a) Strong hierarchy; ...

      13 Chapter 18Figure 1 Marginal prior of

for different choices of
.Figure 2 Estimated autocorrelations for
for the three algorithms. Approxim...Figure 3 Trace plots (with true value indicated) and density estimates for o...Figure 4 (a) Plots
for
and
(in dashed gray and dashed black, respectiv...Figure 5 Plot of
as a function of
, where
varies between
and 1.Figure 6 The posterior mean of
in a normal means problem: the
‐axis and y

      14 Chapter 20Figure 1 ACS 2017 state estimates of the number of households (millions).Figure 2 ACS 2017 state estimates of the number of households (millions). A ...Figure 3 ACS 2017 median household income (USD) with 95% confidence interval...Figure 4 Log 10 US ACS 2017 state estimates of the number of households (per...Figure 5 ACS 2017 state estimates of the number of households (millions), wi...Figure 6 2017 ACS household median income (USD) estimates with 95% confidenc...Figure 7 Sloppy plot of 2017 ACS household median income (USD) estimates.Figure 8 Sloppy plot of 2017 ACS household median income (USD) estimates wit...Figure 9 ACS 2017 state estimates of the number of households (millions).Figure 10 ACS 2017 state estimates of the number of households (millions). T...Figure 11 2017 ACS household median income (USD) estimates with confidence i...

      15 Chapter 21Figure 1 A subset of the graphical annotations used to show properties of a ...Figure 2 The process of generating a quantile dotplot from a log‐normal dist...Figure 3 Illustration of HOPs compared to error bars from the same distribut...Figure 4 Example Cone of Uncertainty produced by the National Hurricane Cent...Figure 5 (a) An example of an ensemble hurricane path display that utilizes ...

      16 Chapter 22Figure 1 Classic dataflow visualization architecture.Figure 2 Client–server visualization architecture.Figure 3 (a) Piecewise linear confidence intervals and (b) bootstrapped regr...Figure 4 Dot plot and histogram.Figure 5 2D binning of 100 000 points.Figure 6 2D binning of thousands of clustered points.Figure 7 Massive data scatterplot matrix by Dan Carr [9].Figure 8 nD aggregator illustrated with 2D example.Figure 9 (a) Parallel coordinate plots of all columns and (b) aggregated

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