Transfer Function Models with Time-Varying Coefficients

<table>Example <a href="https://static.hindawi.com/articles/jps/volume-2012/451076/figures/#ex3">5.3</a>: Histograms of nonlinear estimate of <svg height="14.475" id="M356" style="vertical-align:-3.13504pt" version="1.1" viewbox="0 0 13.45 14.475" width="13.45" xmlns="http://www.w3.org/2000/svg">
<g transform="matrix(1.25,0,0,-1.25,0,14.475)">
<g transform="translate(72,-60.42)">
<text transform="matrix(1,0,0,-1,-71.95,63.6)">
<tspan style="font-size: 12.50px; " x="0" y="0">𝛿</tspan>
</text>
<text transform="matrix(1,0,0,-1,-66.16,60.47)">
<tspan style="font-size: 8.75px; " x="0" y="0">1</tspan>
</text>
</g>
</g>
</svg> at some points of [0, 1]. </table>

Journal of Probability and Statistics

fig22

Figure 22

Figure 22: Transfer Function Models with Time-Varying Coefficients 